{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Small-scale analysis of the tracklet data: does direct alignment-based pose refinement work?\n",
    "\n",
    "Spoiler alert: No.\n",
    "\n",
    "Takeaway: Improving the sparse methods is the way forward for the time being; track more features across more frames, and do more joint car trajectory optimization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as ticker\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "from matplotlib import rc\n",
    "# Enable full LaTeX support in plot text. Requires a full-fledged LaTeX installation\n",
    "# on your system, accessible via PATH.\n",
    "# rc('text', usetex=True)\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (12, 5)\n",
    "matplotlib.rcParams.update({'font.size': 16})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "../csv/aug-21-tracklet-results/kitti-tracking-sequence-0005-tracking-dataset-offset-0-depth-precomputed-dispnet-voxelsize-0.0500-max-depth-m-20.00-dynamic-mode-NO-direct-ref-NO-fusion-weights-3d-tracking-result.csv\n",
      "../csv/aug-21-tracklet-results/kitti-tracking-sequence-0005-tracking-dataset-offset-0-depth-precomputed-dispnet-voxelsize-0.0500-max-depth-m-20.00-dynamic-mode-with-direct-ref-NO-fusion-weights-3d-tracking-result.csv\n",
      "../csv/aug-21-tracklet-results/kitti-tracking-sequence-0004-tracking-dataset-offset-0-depth-precomputed-dispnet-voxelsize-0.0500-max-depth-m-20.00-dynamic-mode-NO-direct-ref-NO-fusion-weights-3d-tracking-result.csv\n",
      "../csv/aug-21-tracklet-results/kitti-tracking-sequence-0004-tracking-dataset-offset-0-depth-precomputed-dispnet-voxelsize-0.0500-max-depth-m-20.00-dynamic-mode-with-direct-ref-NO-fusion-weights-3d-tracking-result.csv\n",
      "../csv/aug-21-tracklet-results/kitti-tracking-sequence-0002-tracking-dataset-offset-0-depth-precomputed-dispnet-voxelsize-0.0500-max-depth-m-20.00-dynamic-mode-NO-direct-ref-NO-fusion-weights-3d-tracking-result.csv\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "ls -t ../csv/aug-21-tracklet-results/*-3d-tracking-result.csv | head -n5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What to visualize\n",
    "\n",
    " * Accuracy over time, aggregated over multiple vehicle tracks, say, more than 3-5 frames in length\n",
    " * Simple bar chart showin trans/rot errors for no-da/da, possibly also labeled with the exact numbers."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initial tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "CSV_FILE_DN_NO_DIRECT = \"../cmake-build-debug/kitti-tracking-sequence-0006-tracking-dataset-offset-0-depth-precomputed-dispnet-voxelsize-0.0500-max-depth-m-20.00-NO-direct-ref-3d-tracking-result.csv\"\n",
    "CSV_FILE_DN_WITH_DIRECT = \"../cmake-build-debug/kitti-tracking-sequence-0006-tracking-dataset-offset-0-depth-precomputed-dispnet-voxelsize-0.0500-max-depth-m-20.00-with-direct-ref-3d-tracking-result-no-param-tweaks.csv\"\n",
    "CSV_FILE_DN_WITH_DIRECT_TWEAKED = \"../cmake-build-debug/kitti-tracking-sequence-0006-tracking-dataset-offset-0-depth-precomputed-dispnet-voxelsize-0.0500-max-depth-m-20.00-with-direct-ref-3d-tracking-result-<todo>.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "56 56\n"
     ]
    }
   ],
   "source": [
    "dn_no_direct_frame = pd.read_csv(CSV_FILE_DN_NO_DIRECT)\n",
    "dn_direct_frame = pd.read_csv(CSV_FILE_DN_WITH_DIRECT)\n",
    "print(len(dn_no_direct_frame), len(dn_direct_frame))\n",
    "# dn_no_direct_frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>frame_id</th>\n",
       "      <th>track_id</th>\n",
       "      <th>trans_error</th>\n",
       "      <th>rot_error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>0.137243</td>\n",
       "      <td>0.022683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44</td>\n",
       "      <td>2</td>\n",
       "      <td>0.084931</td>\n",
       "      <td>0.008583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>45</td>\n",
       "      <td>2</td>\n",
       "      <td>0.071146</td>\n",
       "      <td>0.014435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>46</td>\n",
       "      <td>2</td>\n",
       "      <td>0.059743</td>\n",
       "      <td>0.009506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>47</td>\n",
       "      <td>2</td>\n",
       "      <td>0.013864</td>\n",
       "      <td>0.001544</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   frame_id  track_id  trans_error  rot_error\n",
       "0        43         2     0.137243   0.022683\n",
       "1        44         2     0.084931   0.008583\n",
       "2        45         2     0.071146   0.014435\n",
       "3        46         2     0.059743   0.009506\n",
       "4        47         2     0.013864   0.001544"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dn_no_direct_frame.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>frame_id</th>\n",
       "      <th>track_id</th>\n",
       "      <th>trans_error</th>\n",
       "      <th>rot_error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "      <td>0.137243</td>\n",
       "      <td>0.022683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44</td>\n",
       "      <td>2</td>\n",
       "      <td>0.290606</td>\n",
       "      <td>0.036613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>45</td>\n",
       "      <td>2</td>\n",
       "      <td>0.276341</td>\n",
       "      <td>0.031502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>46</td>\n",
       "      <td>2</td>\n",
       "      <td>0.260395</td>\n",
       "      <td>0.029782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>47</td>\n",
       "      <td>2</td>\n",
       "      <td>0.174290</td>\n",
       "      <td>0.014278</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   frame_id  track_id  trans_error  rot_error\n",
       "0        43         2     0.137243   0.022683\n",
       "1        44         2     0.290606   0.036613\n",
       "2        45         2     0.276341   0.031502\n",
       "3        46         2     0.260395   0.029782\n",
       "4        47         2     0.174290   0.014278"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dn_direct_frame.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# dn_no_direct_frame[dn_no_direct_frame['frame_id'] == 43]\n",
    "# dn_no_direct_frame[dn_no_direct_frame['track_id'] == 2]\n",
    "\n",
    "# dn_no_direct_frame['track_id']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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by+DBg5PO4RVXXMEtt9xC1apVadOmDUeOHGHq1KksW7aMXr16UbNmTY4cyT5/azV6s4iI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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe9ec1920b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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NuffBNRFEkiRJkqRCWmoBnFIam3t/rubiSJIkSZJUGJV1gX6bCro+L5RS6lSQ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\niIiIiIhIWvh/OwAFqtCpNvkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe9ec151550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def compare_tracks(no_direct_frame, direct_frame, track_id=6):\n",
    "    nd_track = no_direct_frame[no_direct_frame.track_id == track_id]\n",
    "    d_track = direct_frame[direct_frame.track_id == track_id]\n",
    "    result = pd.DataFrame({\n",
    "        'frame_id': nd_track.frame_id,\n",
    "        'trans_error_no_direct': nd_track.trans_error,\n",
    "        'rot_error_no_direct': nd_track.rot_error,\n",
    "        'trans_error_with_direct': d_track.trans_error,\n",
    "        'rot_error_with_direct': d_track.rot_error\n",
    "    })\n",
    "    ax = result.plot('frame_id', ['trans_error_no_direct', 'trans_error_with_direct'])\n",
    "    ax.set_ylim([0, 0.5])\n",
    "    ax.set_ylabel(r\"$\\ell_2$ norm of velocity error\")\n",
    "    ax.set_title(\"Translation error over time for track #{}\".format(track_id))\n",
    "    ax.legend([\"No direct alignment\", \"With direct alignment\"])\n",
    "    \n",
    "    ax = result.plot('frame_id', ['rot_error_no_direct', 'rot_error_with_direct'])\n",
    "    ax.set_ylim([0, 0.1])\n",
    "    ax.set_ylabel(\"Delta angle estimation error, in radians\")\n",
    "    ax.set_title(\"Rotational error over time for track #{}\".format(track_id))\n",
    "    ax.legend([\"No direct alignment\", \"With direct alignment\"])\n",
    "\n",
    "compare_tracks(dn_no_direct_frame, dn_direct_frame)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Aggregating multiple tracks' information, over multiple sequences."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Aggregated data from 33 tracks.\n"
     ]
    },
    {
     "data": {
      "image/png": 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mjPL397eUpaenK0C98847dnYvWrRIAWrLli1KKaX27dunAJWYmGhXb/r06QpQ\nhw9bf1MANX78eOUKL730khIRlZ2dbTc2CnRz1L1Vq1YKUGvWrCl0rgsXLrSUNW7cWHXt2tXu2HPn\nzqnatWur0aNHO7UlPz9fXb16VU2ePFmFhYWpvLw8y75GjRqpsLAwlZmZaSnbsGGDAtR7771XqK0G\nDRqoRx991CUNisKd74o7OPudsAXYqFz0n90JjxkCTFZKTVFK/aGUyjb/nQJMBoaWcLwFpdQupdSP\nyliY2g0IAf5WzCFnMFJEOlIwc55pUy9MCgcmOdbTaDS+jFKw9nWo3cRY/OnrhERCq8Hw50Xwv7/D\nkCXQeiic2AFfpMCM5jAvAVa9CIc3G3njNRofJiIignHjxvHuu+/y66+/Oq2Tnp5Or169CAsLs5SF\nhobSp08f0tLSXOrnnnvusfuckZHB+fPnGTx4MLm5uZbt+uuvJzY2lvT09CJaKp4mTZrYpQONjIwk\nMjLS8nTp8uXLpKWlMWDAAPz8/Cz9KqVISkoq1K/JZCIhIcHyOTY2FoCkpCTLTHFBeW5uruXp0ddf\nf01AQAD9+/e3O7/u3Y0Xzjv245gZ5dZbbwWwCxVyhyNHjhAaGlrk2g/HjDKxsbGYTCbi4+PtygBL\nOMru3bvZu3dvoWsWHBxMhw4d7M7p6NGjjBgxgkaNGhEQEED16tV57rnnOHv2LCdO2AdcdOjQgfBw\nq+tX3LnXrVuXI0eOuCNFpcSd7DHRGDnVnbEWY8bdbZRSZ0VkD9a4dGfsAO4RkWBlH9feAmOWf49N\nvUCgMfZx7QWx7D79ru+2bdt62wSfQuthpcppsS/NiBHv/bqRY90Bn9bDPxBu6mZsd0+Dk78YL3T6\nbQWkT4e0aRBSD5p2N3LC39gFAkxl6tKn9ahgvK3FxN5uL/PyKCZT6cfWmDFjmDVrFhMmTLCEoNiS\nmZlJVFRUofJ69eoVShlZFI7HFzhuSUlJTuvbOnHuEBFhzN3Z6hEYGGgJCcrMzCQvL49JkyYxadIk\np23k5+fjZ/49sr1RAesCaEf7CsoL+jlx4gQ5OTlFXpfTp0/bfS6w29Zm2/bc5cqVK5Y2nNngzP6i\nztX2nAAeeeQRHnnkkUJtNmzYEDD069OnD0eOHCE1NZXY2FiCgoJYunQpU6ZMKXRO7py7bVhLaSnL\nd6WicMdpPwJ0AlY62dfRvN9tROQ6IBYo/ItgZRnwAjAAeMd8nD/wZ+AbZWSOAfgaI8vMYHP9AoYA\n25UPZ44Zx3bLAAAgAElEQVQBOHz4sCUGUKP1sKXKafHDaxByHdz2Z6e7K40eIhDZ3Ng6j4WLp2HP\nt4YTv2MpbH4XqgXCjYnmlJI9oFYDt7upNHpUAFoLe3Jyckr90piQkBCeffZZxo0bx9NPP11of0RE\nBMeOHStUfuzYMZeda8cH47Vr1waMnPE331z4BqhmzZoutVsURekRFhaGn58fI0eOLJSNpgA/JxMI\n7lK7dm1q1KhRaHFrAdHR0WXuo6T+C9aylGVsOLYJMHXqVKc3WwVO/t69e9m4cSP//ve/GTJkiGX/\nsmXLymxDZmYmt912W5naKC89PIk7Tvt7wHgRyTf/+yjGG0fvw5hln1ZSAyLyKbAZ+Ak4DzQFxmCk\ne3zFXKcRsBfjLab/AFBKbRGRxcBMEakO7AOewMgdP7igfaXUCRGZATwrIlnmvv4MdMWcy92XOXr0\nqP7Pxgath5UqpcWxn2Hvd9BtYpH50CutHqbaxkuiWt4HuTlwYK0xA//rV7D7G1g+Dq671XDgm90N\n0a2dPmlwpNLq4QG0FvZcvXq1TI7IX/7yF2bMmGHJKGNLYmIiX375JVlZWRZnOisri2XLltGlS5dS\n9dexY0dq1qzJnj17ePDBB0ttd1EUpYfJZLIsmmzdunW5OOjO6NGjB9OmTePcuXN069atXNoMCAhw\neZY5NjaWnJwcDh06RK1atcrFSW3WrBkxMTHs2LGDv/2t6EjngsWu1atXt5RdvXrV6VMcd8jLy+PA\ngQMMGDCgTO2U9btSEbjjtKcCN2LMYKfalAtGusZ/uNDGOmAgMA4jVeNBYDUwVSm136a9ahROR/kQ\nUBA/HwZsA3oopTY71BsPXABGY9xU/AoMVEp94YJ9Go3G2/zwOgSEGG8svZbxDzBCY27sAskvwqnd\nxgudflsB378Ka14GU10jF3zTZGjcFQJ9PyWZ5toiMDCQCRMm8NhjjxXa9/zzz/PFF1/QrVs3nnnm\nGUSEadOmcenSJSZMmFCq/kJDQ5k+fTojR47k5MmT3H333dSqVYvDhw+TlpZGly5dGDRoUFlPyykz\nZswgISGB5ORkHnnkEaKiojh16hSbN28mLy+vXF421aVLF+6//3769+/P2LFjad++PX5+fuzfv58v\nv/ySadOm0bRp05IbsqFFixYsX76cHj16EB4eTnR0dJEz9gVx+OvXr+euu+4q8/mA8bRkzpw59O3b\nl5ycHAYOHEidOnU4fvw4a9eupWHDhowdO5bmzZvTqFEjxo8fT7Vq1ahevTqvvvpqmfvfvn07ly5d\nsltjcK3izsuVcoFBIjIFSMBY3JkJpCuldhR7sLWNaZQwI2923gtluFdKXQbGmrfijs/DcOxLTjDr\nY9guktFoPWypMlqcPQDbP4G4JyAorMhq15weIsbLo+o2NXLSX8qEPf+F376GX5bB1kVQLQBiOhsh\nNE2TIbyR5fBrTo8yoLWwpzxmDh966CGmT59uSZtZwG233cbq1asZP348Dz74IEop4uLiSEtLo2XL\nlqXub8SIEVx//fVMnz6d999/n9zcXOrXr0/nzp25/fbby3QuxenRunVrNmzYwAsvvMCoUaM4d+4c\ndevWpXXr1jz++ONl6teWRYsWMWvWLObPn8+UKVMIDAwkJiaG5OTkUr3Mavbs2YwaNYrevXuTnZ3N\nxIkTi8zVHhMTQ/v27Vm2bBm9e/cu45lY6dmzJ+np6UyZMoXhw4dz+fJl6tWrR1xcnCUNY0BAAEuX\nLuXJJ59k6NChRERE8PDDD9OwYUMeffTRUvf9xRdfUK9evVI/3SnA12fZAUS58DIQEQnAcLbfV0pt\n8LhVXqZt27aqIIdvRXLy5Enq1q1b4f36KloPK1VGi6+fNd6AOnpbsbHdVUYPgLyrcPBH62LW02bH\nKbKFOYymJycDY6gbGeldO32Eihwbu3btonnz5hXSV2m5evWqXThCVUfrYawXGD16NAcOHKBWrVre\nNqfMtGjRgn79+hW5gNhVPDU2SvqdEJFNSimXVtC7FLSllMoBRgBBLlmoKRUFLxDRGGg9rFQJLS5l\nwqZ34Jb+JS7GrBJ6FFCtOsTEQ/IUeGojPLXZCKcJrg1rZ8Hbd3H+239620qfoUqNDRcobZaRaxWt\nBwwZMoTo6Ghmz57tbVPKzGeffcbx48cZN25cmduqDGPDnZUWW4BbPWWIRqOp4mx8G65ehE6jvG2J\nb1O7MXQYCcO+gKf3Qkxnrv/jP3C1bOnONBpN1cDf358FCxYQFFT552EvX77MokWLCqWlvFZxZyHq\nOOADEfkDWK5ciavRuEVpYtmuZbQeVq55La5egR/nwU1JcF3Jea6veT1cJSgMujxLwMKesPnfcEfh\nxYJVDT027KnqoSCOaD0M4uLiyrw+wBe47777yq2tyjA23Jlp/w9QG/gMuCwiB0XkgM32h2dMrDo0\natSo5EpVCK2HlWtei20fwMWTxiJMF7jm9XCHmE7kN7gDfphppJGs4uixYU9Rb76sqmg9rGgt7KkM\nerjjtP8X+AR4FyPF40pzWcH2XblbV8VYv369t03wKbQeVq5pLfLzIGM2RLcysqO4wDWtRynYUacn\nnD8MP33obVO8jh4b9ly8eNHbJvgUWg8rWgt7KoMe7qR8HOZBOzQaTVXl1y/h9B7ov8BIfahxm7MR\nrSHqdlgzA1oOgmruRD5qNBqNpjLg0ky7iASIyGYR6e5pg6oylSFHaEWi9bByzWqhFPzwGoTHQHPX\nX1p8zepRSmoEBUHC03BmH+z41NvmeBU9Nuzx1Js9KytaDytaC3sqgx7upHy8Acj1rDlVm3bt2nnb\nBJ9C62HlmtXiwDo4tAE6POnW7PA1q0cpadeuHTTrCXWbG29Szc/3tkleQ48Ne0wmk7dN8Cm0Hla0\nFvZUBj3cua34FtAz7R5kw4Zr/r1VbqH1sHLNavHDa0a+8dsHu3XYNatHKdmwYQP4+UHCX+HkL/Dr\ncm+b5DX02LCnMsTpViRaDytaC3sqgx7uOO2zgPtF5GURiReRxiJyo+3mKSOrCpUhsX9FovWwck1q\nceIX+O0raP8YBAS7deg1qUcZsOhx8z0QcSOkTzdCj6ogemzYk1+Fn7o4Q+thRWthT2XQwx2nPQ24\nHhhr/vdvwG6HTaPRaFwjYxb4B0G7R71tybWDXzWIHwtHt8Ge/3rbGk0l4oMPPkBESE9Ptys/fvw4\nIuI0//2cOXMQEbZv3w7AsGHDiImJsezfv38/qamp/P7774WOjYmJYciQIeV7Em5w8eJFHnjgASIj\nIxERUlJSWL16NSLC6tWrvWZXRZOamsp337mX/G/UqFH06tXLQxZVHCkpKfTs2dPbZriFOykGHvKY\nFRoA2rdv720TfAqth5VrTovzR2HbYmgzDEy13T78mtOjjNjpcdufYfVLxmz7Td2qXEYePTbscTVO\nNyEhAYD09HTLvws+BwcHc+LECX755RdiY2Pt9tWuXZubbzZeiPb8888zerT1XQv79+/nhRdeID4+\nnhtv9I2H8QV6zJkzhw8++ID58+fTtGlToqKiCA8PJyMjgxYtWnjZyorBZDLxwgsvMH78eLp27erS\nMXv37mXu3LmsXbvWw9Z5nmeeeYYbb7yRVatWceedd15bMe1KqXdK2jxpaFXgjz/0+6ls0XpYuea0\n+PH/QOVBh5GlOvya06OM2OnhHwDxKXBwHfzxg/eM8hJ6bNiTk+PaC7fq169P48aNC820p6en07Vr\nV6f71qxZQ3x8PGK+MWzcuDGtWrUqH8PdJDs726V6BXrs2rWL6Ohohg4dSlxcHI0aNSI0NJS4uDhC\nQ0M9aarP4OrYsGXmzJm0bNmStm3besCiiiUqKorevXszffp0oHR6VDRu57cRET8RuUVEEkXE929L\nKhHHjx/3tgk+hdbDyjWlxZXzsHEBtPgfiLihVE1cU3qUA4X0aDUETJHGbHsVQ48Ne65evepy3YSE\nBDIyMsjNtSaKS09Pp3PnzsTHx9s57bt37+bo0aMkJiZaymzDY1avXs2dd94JwF133YWIOA09+fDD\nD2nevDkmk4m2bdvy/fffl2hnamqqJSwnOTmZkJAQBg4caNm/ZMkS4uLiCA4OJiwsjAEDBnDgwAGL\nHiLCwoULOXjwoJ1dzsJjunTpQnx8PCtXrqR169YEBwdzyy238OmnhVOrbtu2jT59+hAeHk5QUBCd\nOnVizZo1dnWGDRtGgwYN2LhxIx07diQoKIhmzZqxfLmxeHzGjBnExMQQGhpK3759OXnypN3xubm5\nTJ06ldjYWAIDA4mOjmbcuHF2azn279+PiDBv3jwmTJhAVFQUYWFh9O7dm0OHDlnqBQUFATBlyhSL\nDqmpqUXqnp2dzaJFixg0aJBdeYFuS5cuZcSIEURERBAWFkZKSgp5eXls2LCB+Ph4TCYTN998MytW\nrCjUdlpaGt26daNmzZqYTCaSk5MtYVcFfPPNN/Ts2ZOoqCjLdXjllVfIy8uzq1cQeuXK2LrvvvtY\nsWIFBw8edOu74i3cctpFZCRwDPgJ4w2ozczlS0VkVPmbp9Forjk2LYTs89BJ/2R4jOpB0PEp+H01\nHNrobWs0lYSEhAQuXLjA5s2bATh79izbt2+nc+fOdO7c2c4BLXDgbUNpbGndujVz5swB4PXXXycj\nI4OMjAxat25tqbNmzRpeeeUVJk2axOLFi8nLy6NXr16cPXvWJXv79u1LYmIin3/+OWPGjAFg7ty5\n9OvXjxYtWvDxxx8zb948tm/fTmJiIllZWQBkZGSQnJxMvXr1nNrlyN69exk9ejRjx45lyZIlREVF\nMWDAAPbs2WOps3nzZjp27EhmZiZvvfUWn3zyCbVr1yYpKYlNmzbZtXf+/HmGDh3K8OHD+fTTT4mM\njKRfv36MGzeOVatWMWfOHGbOnMmqVasYOdL+aeSQIUOYPHkygwYNYvny5Tz77LO8/fbbDB5cOAPX\n1KlT2bNnD/Pnz+e1114jIyPDbh3BypUrAeNGokCH4cOHF6nDunXrOHv2LJ07O39zdUpKCiaTicWL\nF/PUU0/x2muvkZKSwtChQ3n44YdZsmQJERER3HvvvZw6dcpy3PLly+nWrRshISEsWrSI999/n6ys\nLDp37szBgwct9X7//Xe6dOnCW2+9xfLly3nwwQdJTU1l/PjxhWxxdWx17tyZ/Px8vv322yLP25dw\nOaZdRB4FXgPmA98AH9nsXgP0A14vV+uqGLaxghqthy3XjBa5ObDu/+CGBIgu/WP0a0aPcsKpHm0f\nhu9nQPrLMOjDijfKS3h9bHz1Nzj2s3dtqHcr3P0S4N7LpgpmzdPT02nfvj1r1qwhMDCQNm3aULt2\nbQ4cOMD+/fuJiYkhPT2d0NBQbr/9dqdthYaGWmLDmzdvTlxcXKE658+fZ+vWrYSHhxtm16tHu3bt\n+PLLLwvN5jpj1KhRdjH0Fy5c4JlnnuGhhx5i/vz5lvL27dvTrFkz3n77bUaOHElcXBx16tQhMDDQ\nqV2OnDp1ivT0dJo0aQIYNyRRUVF89NFH/P3vfwfg6aefpmHDhnz33XcEBAQAkJyczC233MKkSZNY\nunSppb2srCzmzp1rueGJjo6mZcuWfPHFF+zcuZNq1aoBsH37dmbNmkVeXh7VqlVjzZo1LF68mHfe\neYehQ4cCkJSUREREBEOGDGHr1q121yMmJob333/f8vnkyZM8/fTTHDlyhOjoaEv/9evXd0mHdevW\nISLcdtttTvd37dqVGTNmAMbTleXLlzN79mxLGBUYISktW7a0ON0Ao0ePJjExkc8++8zS1p133smN\nN97IK6+8wsyZMwF4/PHHLfuVUnTu3JmcnBxefvllXnzxRbuXI7k6turWrUuDBg1Yt24dDzzwQIka\neBt3ZtrHAq8opR4DHJ8L/YJ51l1Tehwf8VR1tB5Wrhkttn8MWUeg0+iS6xbDNaNHOeFUj8AQiPuL\nkVbT205kBaLHRum54YYbaNCggWUWPT09nTvuuIOAgACaNm1KZGSk3b5OnTpZHMzS0KFDB4tTBXDr\nrbcCWEJZSuKee+6x+5yRkcH58+cZPHgwubm5lu36668nNja2UEy+qzRp0sTisANERkYSGRlpsfPy\n5cukpaUxYMAA/Pz8LP0qpUhKSirUr8lksntCUXCjmZSUZKdnbGwsubm5HD16FICvv/6agIAA+vfv\nb3d+3bsbr9Bx7McxM4q7+jpy5MgRQkNDLTcljtx99912n2NjYzGZTBaHvaAMsMyg7969m7179xa6\nZsHBwXTo0MHunI4ePcqIESNo1KgRAQEBVK9eneeee46zZ89y4sQJu77dGVt169blyJEj7kjhNdzJ\nHnMDUDgQyeAiEFZ2c6o2u3fvpl69et42w2fQeli5JrTIz4cfXofrboHG3crU1DWhRzlSpB7tHzU0\nX/MKDFhY4XZ5A6+PDfMMt69w5coVqlev7nL9hIQEvvrqK5RSpKenk5ycbNlXENfetWtX9u/fz4gR\nI8pkW0REhN3nwMBAi82uEBUVZfe5wHFLSkpyWj88PNxtPZzZCYatBXZmZmaSl5fHpEmTmDRpktM2\n8vPzLTPBYWH27lKBE2zrZNqWF/Rz4sQJcnJyisxycvr06WLtdtTX3XcaXLlyxdKGM5zZX9S52p4T\nwCOPPMIjjzxSqM2GDRsChn59+vThyJEjpKamEhsbS1BQEEuXLmXKlCmFzsWdsRUUFMTly5dLNTYq\nGnec9lNATBH7mgGHy2yNRqO5dtnzLZzcBfe8WeXSEHqNoHDDcf/+VejyG9Rt6m2LND5OYmIi77//\nPuvWrWPz5s1MnjzZsq9z58688cYbpKWlAUXHs1cU4vA7Uru2kT524cKFljSUttSsWdMjdoSFheHn\n58fIkSMtYSuO2IZulJbatWtTo0aNQotbC4iOji5zHyX17+p6A3faBCP+3tnNVoGTv3fvXjZu3Mi/\n//1vu7j8ZcuWldmGzMzMIkN+fA13nPYvgAkishooyKmlRKQOMAZYWtSBGtdwnDWo6mg9rFwTWvzw\nOoQ2gFvuLXNT14Qe5UixenQYaawj+P5VuOf/Ks4oL6HHhj3uzhwWOOIvvfQSSik6dOhg2RcfH8+Y\nMWP46KOPCA4Opl27dsW2VTC7efnyZTetLh0dO3akZs2a7NmzxxIv7Ygn3phrMpno3Lkz27Zto3Xr\n1uXioDujR48eTJs2jXPnztGtW9meVoIxNgICAly+PrGxseTk5HDo0CEaNGhQ5v4BmjVrRkxMDDt2\n7OBvf/tbkfUuXbpksbmAq1ev8t5775Wp/7y8PA4cOMCAAQN8fpYd3HPanwPuBLYDPwIKY+FpLHAC\n+Ee5W1fFqF+/vrdN8Cm0HlYqvRaHNsEf30Pyi1Ct7D+MlV6PcqZYPUx1oO1D8OM86PIMhMdUmF3e\nQI8Ne4qKPy6K2NhYIiMjWbZsGW3atCEkJMSyr1WrVoSEhLBs2TLuvPPOEp2cpk2b4u/vz/z584mI\niCAwMJBmzZp5bMY7NDSU6dOnM3LkSE6ePMndd99NrVq1OHz4MGlpaXTp0oX77rvPI33PmDGDhIQE\nkpOTeeSRR4iKiuLUqVNs3ryZvLw8Xnqp7GFTXbp04f7776d///6MHTuW9u3b4+fnx/79+/nyyy+Z\nNm0aTZu6/jQtICCAFi1asHz5cnr06EF4eDjR0dFFztgX3NCtX7++3Jx2EWHOnDn07duXnJwcBg4c\nSJ06dTh+/Dhr166lYcOGjB07lubNm9OoUSPGjx9PtWrVqF69Oq+++mqZ+9++fTuXLl0iISHB7e+K\nN3Dn5UqngLbAVKA6sBfD6Z8NdFBKnfOIhVWIjRt1ajZbtB5WKr0Wa1+DGrWgtfNHx+5S6fUoZ0rU\no+NT4FcNfnitYgzyInps2HPx4kW3j0lISLBk57ClWrVqdOjQAaWUS6ExtWvXZvbs2Wzbto3ExETa\ntWtXKP1heTNixAg+//xzfv31Vx544AF69uxJamoqubm53H777aXSwxVat27Nhg0bqF27NqNGjaJ7\n9+6MHj2an3/+uVzDiBYtWkRqaioff/wxffv2pX///syePZsmTZpw3XXXudXWxYsXmT17NiaTid69\ne9OuXTvefPPNIuvHxMTQvn37cglJsaVnz56kp6dz8eJFhg8fTnJyMv/7v//LsWPHLE96AgICWLp0\nKfXq1WPo0KGMHDmShISEYmfnXeGLL76gXr16dOnSxWNjozwRpZS3bfA52rZtq7zxw79mzZoi859W\nRbQeViq1Fqf3wqw2ED8GkiaWS5OVWg8P4JIey1Jg63swehuEejb21ZtU5NjYtWsXzZs3r5C+SktW\nVpbHZrYrI1oPK6XRYuHChYwePZqjR48SHBzsIcsqjhYtWtCvXz8mTZrksbFR0u+EiGxSSrn0ilnP\nBF5pSkVRK8KrKloPK5Vai4zZRkjMHY+XXNdFKrUeHsAlPeJTID8P1s72vEFeRI8NezwVX11Z0XpY\nKY0WQ4YMITo6mjfeeMMDFlUsn332GcePH2fcuHFA5Rgbvm9hFaK4N7JVRbQeViqtFhdOwtb3oeX9\nUNO9R7fFUWn18BAu6REeA7cNhI3z4eKpEqtXVvTYsEffxNij9bBSGi38/f1ZsGDBNTHLfvnyZRYt\nWmRJS1kZxoZ22n2IH3/80dsm+BRaDyuVVov1b0JuthFTXY5UWj08hMt6xI+F3CuwrvLPkhWFHhv2\nXLhwwdsm+BRaDyul1SIuLo6//OUv5WxNxXPffffZvRCqMowN7bT7EDk5Od42wafQeliplFrkXIQN\nb0Hsn6BOk5Lru9N0ZdTDg7isR92m0KIvrH8LLpdvvmVfQY8Ne/S6NXu0Hla0FvZUBj20067RaDzD\nlkVw+Qx0Gu1tSzS2JPwVss8bjrtGo9FoKg3aafchbF9iodF62FLptMjLNRY8Xh8H17cv9+YrnR4e\nxi096t0KTXvAujmQ7fuPg91Fjw17bPOsa7Qetmgt7KkMerjltItIoojMFZEvReQ7h+2/njKyqrB7\n925vm+BTaD2sVDotdi6Fcwc8Nste6fTwMG7r0fmvxlOQTQs8Y5AX0WPDHk+8AbQyo/WworWwpzLo\n4bLTLiIjgFVAfyAMEIdNz9qXkVOnrt2MDqVB62GlUmmhlPESnzpNjRldD1Cp9KgA3Nbj+nZwQyKs\nnQVXff8/KnfQY8Oe3Nxcb5vgU2g9rGgt7KkMevi7UXcc8D7wsFJKr/TRaDTO+X01HPsJ+syCSpD3\ntsqS8DS80wu2/BvaP+ptazQajUZTAu78j1ofWKAdds/RokULb5vgU2g9rFQqLX54DUKug9v+7LEu\nKpUeFUCp9IiJh+vvMK5X3tXyN8pL6LFhT1BQkLdN8Cm0Hla0FvZUBj3ccdo3ATd6yhANZGdne9sE\nn0LrYaXSaHH0J/h9FcQ9Af6BHuum0uhRQZRKDxFjtv3cQfhpcfkb5SX02LAnPz/f5boLFy5ERAgL\nC+PMmTN2+3JzcxERUlNTy9nC0nPx4kUeeOABIiMjERFSUlJYvXo1IsLq1audHuOOHpWF1NRUvvvu\nO7eOGTVqFH369PGQRe7jOLZSU1MREY/1p5SiVatW/POf/7SUVYax4Y7TPgpIEZEETxlT1dm7d6+3\nTfAptB5WKo0Wa1+HgBBo85BHu6k0elQQpdbjpiSIaglrZkB+Xvka5SX02LCnNDcx586dY9q0aR6w\npnyZM2cOH3zwAS+//DIZGRmMGTOG1q1bk5GRUeSbca/Fm7oXXnjBLad97969zJ07l2eeecaDVpWN\n4cOHk5GR4bH2RYQJEyYwdepUMjMzgcoxNtxx2pcBDYBVIpIlIgcctj88ZKNGo6kMnD0A25dAm2EQ\nFOZtazSuIGJkksncCzs+9bY1Gh+he/fuzJo1i+PHj1dov+46Tbt27SI6OpqhQ4cSFxdHo0aNCA0N\nJS4ujtDQUA9ZWfmZOXMmLVu2LPLGxhdo0KABcXFxHu2jT58+1KhRg3/9618e7ac8ccdp/y+wBHgX\n+Nj82XZz79mMphANGjTwtgk+hdbDSqXQIuMNwwmMe8LjXVUKPSqQMukR2wvqxsKaV6ASPB4uCT02\n7AkICHD7mOeeew6AyZMnl1h3/fr1JCUlERISgslkolu3bqxfv77E4wrCH7Zv305ycjIhISEMHDjQ\nsn/JkiXExcURHBxMWFgYAwYM4MCBA5b9IsLChQs5ePAgImIJiXEWHtOlSxfi4+NZuXIlCQkJBAcH\nc8stt/Dpp4VvVLdt20afPn0IDw8nKCiITp06sWbNGrs6w4YNo0GDBmzcuJGOHTsSFBREs2bNWL58\nOQAzZswgJiaG0NBQ+vbty8mTJ+2Oz83NZerUqcTGxhIYGEh0dDTjxo2zSzm4f/9+RIR58+YxYcIE\noqKiCAsLo3fv3hw6dMhOB4ApU6ZYdCguhCk7O5tFixYxaNAgu7FRoNvSpUsZMWIEERERhIWFkZKS\nQl5eHhs2bCA+Ph6TycTNN9/MihUrCrWdlpZGt27dqFmzJiaTieTkZLZv325XJy8vj+eee46oqCiC\ng4Pp0qULO3bsKNSWs/CY2bNn06FDB4ttcXFxFs3d1Q2gWrVqDBgwwOK0l+a7UtG47LQrpYYppR4q\nbvOkoVWBunXretsEn0LrYcXntbiUCZvfgVsHQC3PO00+r0cFUyY9/Pyg8zg4sRN++6r8jPISemzY\n4+/vTpI4g6ioKJ588knefPNN/vij6IfoP/30E4mJiZw5c4aFCxfy7rvvcv78eRITE9m2bZtLffXt\n25fExEQ+//xzxowZA8DcuXPp168fLVq04OOPP2bevHls376dxMREsrKyAMjIyCA5OZl69eqRkZFR\nbEgMGCEho0ePZsyYMSxZsoSoqCgGDBjAnj17LHU2b95Mx44dyczM5K233uKTTz6hdu3aJCUlsWnT\nJrv2zp8/z9ChQxk+fDiffvopkZGR9OvXj3HjxrFq1SrmzJnDzJkzWbVqFSNHjrQ7dsiQIUyePJlB\ng5LRyy4AACAASURBVAaxfPlynn32Wd5++20GDx5cyO6pU6eyZ88e5s+fz2uvvUZGRgZDhgyx7C8I\nIRk2bJhFh+HDhxepw7p16zh79iydO3d2OjZSUlIwmUwsXryYp556itdee42UlBSGDh3Kww8/zJIl\nS4iIiODee++1S6+6fPlyunXrRkhICIsWLeL9998nKyuLzp07c/DgQUu91NRUXnzxRQYPHszSpUvp\n3r27y7H1+/btY9iwYXz00UcsXryYtm3b0qtXL77++mu3dSsgISGB3bt38/vvv5fqu1LhKKX05rC1\nadNGeYP09HSv9OuraD2s+LwWq/+p1MRQpY5tr5DufF6PCqbMeuReVWrmbUrNS1QqP788TPIaFTk2\ndu7c6bR84Ny1hbZ31+5TSil1KTvX6f6PNhxQSil1+kK20/2fbz2slFLq8JlLTvd/u+OYUkqpPSey\n7Gw5f/68y+ezYMECBajdu3er06dPq1q1aqmHHnpIKaXU1atXFaAmTpxoqd+vXz9Vq1YtdebMGUvZ\nuXPnVHh4uLrnnnuK7WvixIkKUDNnzrQrz8rKUqGhoZZ+C/j9999V9erV1auvvmopGzx4sGrUqJFd\nvVWrVilArVq1ylKWmJio/P391W+//WbR4/jx48rPz09NmTLFUq9r164qNjZWZWdnW8pyc3NVbGys\n6tu3r6XswQcfVIBKS0uzlG3btk0BqmnTpio3N9dSPmbMGOXv728pS09PV4B655137OxetGiRAtSW\nLVuUUkrt27dPASoxMdGu3vTp0xWgDh8+bCkD1Pjx45UrvPTSS0pEVHZ2tt3YKNDNUfdWrVopQK1Z\ns6bQuS5cuNBS1rhxY9W1a1e7Y8+dO6dq166tRo8erZRSKjMzU5lMJjVixIhCNjmOrYLxURR5eXnq\n6tWr6q677lJ9+vSxlLujm1JK7dmzRwHqvffec+u74g5F/U4UAGxULvqn7r4R9VYR+VhETopIrvnv\nRyJya3ncQGg0mkrI1cuwfh7cdBdcd7O3rdGUhmr+ED8WjmyBvTrSUQMRERGMGzeOd999l19//dVp\nnfT0dHr16kVYmHUNS2hoKH369CEtLc2lfu655x67zxkZGZw/f57BgweTm5tr2a6//npiY2NJT08v\n1fk0adKEJk2aWD5HRkYSGRlpCbm5fPkyaWlpDBgwAD8/P0u/SimSkpIK9WsymUhIsObliI2NBSAp\nKYlq1arZlefm5nL06FEAvv76awICAujfv7/d+XXv3h2gUD89e/a0+3zrrYa7ZRsq5A5HjhwhNDS0\nyFCQu+++2+5zbGwsJpOJ+Ph4uzLAMoO+e/du9u7dW+iaBQcH06FDB8s5/fzzz1y8eNEuDArgvvvu\nc8n2TZs20atXL6677jr8/f2pXr063377rdPx6apuBU/mjhw54pIN3sblZwEi0g5IAy4DnwPHgHpA\nb+BPIpKglNpUTBOaEqhZs6a3TfAptB5WfFqLbR/AxZPQaXSFdenTeniBctGj5f2QNg3SX4abupW9\nPS/hC2Nj8YgORe4LCqhW7P4IU0Cx+6PDgord37huiN1nWwfSXcaMGcOsWbOYMGEC7733XqH9mZmZ\nREVFFSqvV69eoZSRReF4/IkTJwDD+XVGeHi4S+06EhERAdjrERgYaIkjz8zMJC8vj0mTJjFp0iSn\nbeTn5+NnfmGc7Y0KWOOhHe0rKC/o58SJE+Tk5GAymZz2cfr0aad229ps2567XLlyxdKGs7HhzP6i\nztX2nID/Z+/M46Oqzv//PrMkIQkhEPZdMRD2LewEEBCUKtRWsRVFLX7l19KKgEvVqli1oFjrArZa\n14obdQW1Vm2BsIksQtkFZAdZZEvIOjPn98eZ7U62mWRm7kxy3q/Xfc2de86995nPnEmec+5znsOU\nKVOYMmVKmWu2bdsWwNtxadasmaE88H15HDp0iFGjRtGlSxeee+452rZti81m44EHHmDHjh1l6ger\nmyc3e2FhYY1+K9EilACeOcBWYJSUMs9zUAhRH/jKXT6msgsIIa4BbgD6Ao2Bg6jJrX/yv2YF5yYB\nj7jPTwc2AfdIKXMD6lmAe4CpqE7FLuCPUsr3g/6kJtGrVy+zTYgptB4+YlYLlxNWz4eWfdRiPVEi\nZvUwibDoYUtQHa9/3Q37V0H7ITW/pgnotmEkOTm52uempqZy7733MmvWLO66664y5Y0aNeKHH34o\nc/yHH34I2rkOnGyYkZEBqJzxXbuWfXJX005ZRXqkp6djsViYNm0akydPLreOJQwrPGdkZJCUlFRm\ncquHli1b1vgeVd3/7NmzQM3aRuA1QcWRl9fZ8jj5ng7a8ePHDd9tMFmKPv/8c86dO8eiRYsMk80L\nCgpqZLsn3WPjxo3DpkckCcVpHwjcGOhcSynzhBCPA68HcY07gSPAvcBhoBcwG7hUCDFYSllZ6oKX\ngZ8AdwHfA9OAfwshBkkpN/nVe8R9n/tRC0L9AvinEOJKKeVnQdhoGqtXr2bw4MFmmxEzaD18xKwW\nOz9V6QKvfU1ljokSMauHSYRNjz6TIXcerHgybp123TaM5Ofnk5qaWnXFCvjNb37DU0895c0o48/w\n4cP57LPPyMvL8zrTeXl5LFmyhBEjRlTrfoMHD6Z+/frs2bOHm266qdp2V0RFeqSkpJCTk8PmzZvp\n06dPWBz08rj88st5/PHHOXfuHKNGheeJVkJCAoWFhUHVzcrKoqSkhMOHD5Oenl6jtuGhU6dOtG/f\nnm3btvH73/++wno9evQgJSWFRYsWMXLkSO/xd955p8p7eJxzu93uPfbdd9+xatWqGmWM2rdvH6A+\nQ01/K9EgFKdd1rAc4CoppX/uo2VCiNMoh38EFaSNFEL0BK4HfiWlfNV9bDmwDfgjMN59rCnKYZ8r\npXzSffpSIcQlwFwgpp12p7N2LG4SLrQePmJSCylh1TPQsD10ju7KejGph4mETQ97PRj0W/jqITiy\nAVr1Dc91o4huG0bUPLfqk5iYyIMPPshtt91WpuyBBx7gk08+YdSoUdxzzz0IIXj88ccpKCjgwQcf\nrNb90tLSmDdvHtOmTePkyZNcccUVNGjQgCNHjrB8+XJGjBjB9ddfX+3PU5keTz31FMOGDWPs2LFM\nmTKFFi1acOrUKTZu3IjT6WTu3LnVvq+HESNG8Mtf/pJrrrmGmTNn0r9/fywWC/v37+ezzz7j8ccf\np2PHjiFds0uXLnz66adcfvnlNGzYkJYtW1Y4Yu+Jw//mm2+47LLLavx5QD0tWbBgARMmTKCkpISJ\nEyfSuHFjjh8/zurVq2nbti0zZ84kPT2dGTNm8Nhjj1G/fn3GjBnDunXrePnll6u8x+jRo7HZbEye\nPJlZs2Zx7NgxHnroIdq2bVujlUzXrl2L3W5n4MCBcfG3I5Su5FrgPnc4jBchRAoqHOXrqi4Q4LB7\nWOd+bVXJqeOBUsC71raU0gG8A4wVQnjWSx8LJAALA85fCHQXQlxUlY0ajSZIDq6BI+th8O/AEvux\ngJog6TcFktIh989mW6KJEW655RbDJE4PPXr0YNmyZaSlpXHTTTdx4403kpqayvLly+nZs2e17zd1\n6lQWL17Mrl27uPHGGxk3bhyzZ8/G4XBENPypT58+rFu3joyMDG6//XbGjBnD9OnT2bJli2HSaU1Z\nuHAhs2fP5r333mPChAlcc801zJ8/n8zMzKDiuwOZP38+KSkpXHXVVfTr148XX3yxwrrt27enf//+\nLFmypCYfoQzjxo0jNzeXCxcucOuttzJ27FjuvvtufvjhBwYN8s3BmD17Nvfddx9vvPEG48eP54sv\nvgjKlq5du/Lmm29y4MABxo8fzxNPPMHcuXNr/L188sknjB8/Pi5CYwBEsL1wIUR/YBlQBHwCHEPF\njI8DkoERUsp1FV6g4uv+P+CvQD8p5foK6rwD9JZSdgo4PhHlyHeTUm4TQswF7gDqSb8P5rZ9LXCl\nlNKYib8csrOz5fr15ZoSUfwnuWi0Hv7EpBZvXQeH18GMbWqENorEpB4mEnY9ls2FZXPg16vjLiNQ\nNNvGjh076Ny5c1TuVV2klGXixusyWg81X2D69OkcPXq0wgmxdYGjR4/Spk0bvvjiC0aNGhWxtlHV\n3wkhxAYpZXYw1wo6PEZK+Y0QYiDwIGpEuxFwGlgKPCKl3BLstfwMbYUKb/mqIofdTSOgvKnop/3K\nPa9nZdmeSGC98my5DbgNoFWrVt5JIu3btyc1NdW7qlejRo3o3Lkzq1atAtTs68GDB7Np0ybvog+9\ne/fm5MmT3tW3OnToQGJiItu3bwfUhIfMzEzvoggJCQkMGDCA5cuXe5P7Z2dnc+TIEe9s68zMTKxW\nKzt37gTUbOt27dp5V55LSkqiX79+rFu3zjs7un///hw4cMA7ySMrKwun08nu3bsBNSmkVatWeDoo\nKSkp9OnTh7Vr11JSUgLAoEGD2L17t3cRhS5dulBcXMzevXsBtfpgkyZN+PbbbwE1SahXr16sXr3a\n+6hpyJAh7Nixwzvho1u3buTn57N//35AzSxv2LChdzGO9PR0unfvzn/+8x+SkpIQQjB06FC2bNni\nnUDTs2dPzpw5403fFM3vaePGjVy4cCGq39OFCxc4f/58zHxPyfkH6fvd5zDiPlau3eD9Yxet7+no\n0aPeGM5Y+p7M+j3t2rWL0tLSMt8T+H5PK1euDPp7urj1lbS0P8vJD37Prm53x9XvqUGDBiQlJUXl\neyoqKiIvLw+r1UpycjL5+fne8IvU1FSKiopwOByAylLhcrkoLi72fn6bzeaN1fVcw6On5/svKCjw\nfvfJyck4HA6vnYmJiVgsFu9vwWazkZSURH5+PqDCFqxWK1LKGl0jNTWVCxcueMMQUlJSKCkp8ba5\npKQkwJeZw263k5CQ4P1eLRYLKSkpYblGTTUWQuB0OmPue0pNTQ3LNYLReMKECcyZM4enn36ae++9\nNya/p2j8nh5//HFycnLo378/eXl5CCFISkoK+/ckpfT6lOX93QuFoEfaw40QIhU1ct8S6C+lPFxJ\n3S+ANCnlwIDjo4EvgWFSyhVCiBeB8VLK5gH1LgF2A5OllG9UZZtZI+0rVqwgJycn6veNVbQePmJO\ni4+mwbYP1Ch7coV94YgRc3qYTET0+PIhNWfht+uh8SXhvXYEiWbbiIeRdv9Johqth4evv/6a1atX\nM3PmTLNNMQUpJU888QTjx4/3/oYj1TbCOdJuyvNlIUQ9YAlwMTC2MofdzRmgvPxRHm/htF+9dFH2\n+UZgPY1GU13OH4X/vQu9bzDFYddEiUHTwJYIK/9itiUajSbMDBw4kP/7v/8z2wzTEEJwzz33xHyn\nO5BKw2OEEK+gQl/2ufcrQ0opy2bVL3tNO/AekA1cFmRYzTbgaiFEspTSPylnF6AE2ONXLxHo4HfM\nUw9gexD3Mo1u3bqZbUJMofXwEVNafP1XkE7l1JlETOkRA0REj9Sm0PdmWPcSjLgH0tuG/x4RQLcN\nI57FYzQKrYcPrYWReNCjqpH2S4E09/5I9/vKtkpxL3z0pvtaP5VSVplxxs0SwA5c63ctG3Ad8IWU\nsth9+HNUlplJAeffAGyVUu4L8n6m4Imb0ii0Hj5iRouic7DhNeh6tUr1aBIxo0eMEDE9Bt8OCBUm\nEyfotmGkJunwaiNaDx9aCyPxoEelTruU8iIp5Wb3fnv3+4q2i4O43wKU4/1n4IIQYqDf1hpACNFO\nCOEQQniTvEopv0VliXlaCHGrEGIUKt3jRcBDfvVOAE8B9wohZgohRggh/orqJNwbgi6m4Jnwp1Fo\nPXzEjBYbXoPi825nzjxiRo8YIWJ6NGgFva6HjW9AXtmVL2MR3TaMeCbqaRRaDx9aCyPxoEfQMe1C\niGHuyaPllaUIIYJJlnmF+/V+YE3AdqvncoC1HNtuAV4FHgU+BdoAl0spNwbUu99dZzrwb2AIMFFK\n+UkQ9mk0mopwlKjQmIuGQ0u9VHydYegd4CqF1c+ZbYlGo9HUaUJZEXUpMAj4ppyyLHd5pSusSCnb\nV3UTKeV+lOMeeLwQmOneKjvfiXLaH63qXrFG27bxETMaLbQePmJCiy3/hLxjMGG+2ZbEhh4xRET1\naHQxdL8W1r8CQ2dCSkbk7hUGdNswkpCQYLYJMYXWw4fWwkg86BFK9pjKMs4nArG//muM07BheQly\n6i5aDx+ma+FywepnoVk36DDKXFuIAT1ijIjrMXQmlBbC2r9G9j5hQLcNI561PzQKrYcPrYWReNCj\nUqddCNFeCDFSCDHSfSjb895v+wkwCzgYcWtrOZ7FUDQKrYcP07XY/QWc3AlDpkMMrCZouh4xRsT1\naJoFna+CtS+qycgxjG4bRjyLzWgUWg8fWgsj8aBHVSPtNwFfoRYwksBz7vdf+R1fAlwFPB45MzUa\njamsfhbSWqusMZq6ybA7ofgcfPN3sy3RRIC3334bIQS5ubmG48ePH0cIQbNmzcqcs2DBAoQQ3hWO\nb775Ztq3b+8t379/P7Nnz+b7778vc2779u254YYbwvshQuDChQvceOONNG3aFCEEd9xxB8uWLUMI\nwbJly0yzK9rMnj2b//73vyGdc/vtt3PllVdGyKLQEUIwe/Zs7/vZs2dTdrme8CGlpHfv3jzxxBMR\nu0dFVOW0v4ZK5TgKFR7zW4wpHkcCg4HmUkr9l7yGpKenm21CTKH18GGqFofXw4FVKi+71W6eHX7o\ntmEkKnq06AmZY2DNAigJffntaKHbhhGrtdKpZl6GDVO5JAKd9tzcXJKTkzlx4gQ7d+4sU5aRkUHX\nrl0BeOCBB/jwww+95fv37+fhhx8u12k3C48eCxYs4O233+bJJ59kzZo1zJgxgz59+rBmzRr69Olj\nspXRwWq18vDDD4fktO/du5e//e1vBic51rj11ltZs2ZNyOcF+1sRQvDggw8yZ84cTp+O7pqdlQbw\nSCkPAAcAhBCXAhuklDoJboTo3r272SbEFFoPH6ZqseoZSEqHPpPNsyEA3TaMRE2PYXfBy5ep1J8m\nLq5VGbptGElOTg6qXqtWrejQoUO5TvvIkSPZsWMHubm5ZGVlectWrFjB0KFDvaOaHTp0CJ/hIVJc\nXExiYmKV9Tx67Nixg5YtWzJ5svHv2sCBAyNiXywSbNvw5+mnn6Znz55kZ2dHwKLw0Lp1a1q3bh3y\neaHoMX78eJKSknjppZe4++67Q75XdQl6IqqUcrl22CPLypUrzTYhptB6+DBNix/3wo4l0G8KJJab\n8dUUdNswEjU92vSH9jmw6lkoLYrOPUNEtw0jeXl5QdcdNmwYa9asweFweI/l5uaSk5PD0KFDDQ79\n7t27OXbsGMOHD/ce8w+PWbZsGZdeqtZcvOyyyxBClBt68s4779C5c2dSUlLIzs4O6vvzhD9s3bqV\nsWPHkpqaysSJE73lH3zwAQMHDiQ5OZn09HSuvfZaDh486NVDCMFrr73GoUOHDHaVFx4zYsQIhg4d\nyldffUWfPn1ITk6mW7duhicKHjZv3sz48eNp2LAh9erVY8iQIaxYscJQ5+abb6Z169asX7+ewYMH\nU69ePTp16sSnn34KwFNPPUX79u1JS0tjwoQJnDx50nC+w+Fgzpw5ZGVlkZiYSMuWLZk1axZFRb7f\n4/79+xFC8MILL/Dggw/SokUL0tPTueqqqzh8+LC3nqez9dhjj3l1qGwEvbi4mIULF3L99dcbjnt0\n++ijj5g6dSqNGjUiPT2dO+64A6fTybp16xg6dCgpKSl07dqVf//732WuvXz5ckaNGkX9+vVJSUlh\n7Nix3rArD06nkz/84Q+0aNGC5ORkRowYwbZt28pcq7zwmPnz5zNo0CCvbQMHDvRq7mHr1q1B6QZq\nVP7aa6/lpZdeqlCvSBBK9hiEEGOEEB8KIbYLIb4P2PZGysi6gpTSbBNiCq2HD9O0WP0cWBOg/1Rz\n7l8Bum0Yiaoew+6C/B9g05vRu2cI6LZRfYYNG0Z+fj4bN6rlT86ePcvWrVvJyckhJyfH4IB6HHhP\nWE0gffr0YcGCBQA8++yzrFmzpkzoyYoVK/jzn//MI488wrvvvovT6eTKK6/k7NmzQdk7YcIEhg8f\nzuLFi5kxYwYAf/vb3/j5z39Oly5deO+993jhhRfYunUrw4cP93Zg1qxZw9ixY2nevHm5dgWyd+9e\npk+fzsyZM/nggw9o0aIF1157LXv27PHW2bhxI4MHD+b06dP8/e9/5/333ycjI4PRo0ezYcMGw/XO\nnz/P5MmTufXWW/nwww9p2rQpP//5z5k1axZLly5lwYIFPP300yxdupRp04xPtG644QYeffRRrr/+\nej799FPuvfdeXn75ZSZNClwIHubMmcOePXt45ZVXeOaZZ1izZo1hHsFXX30FqI6ER4dbb721zHU8\nfP3115w9e5acnJxyy++44w5SUlJ49913+d3vfsczzzzDHXfcweTJk/nVr37FBx98QKNGjfjZz37G\nqVOnvOd9+umnjBo1itTUVBYuXMhbb71FXl4eOTk5HDp0yFtv9uzZ/OlPf2LSpEl89NFHjBkzhvHj\nx1dorz/79u3j5ptvZtGiRbz77rtkZ2dz5ZVX8vnnn4esm4dhw4axe/fu6IZ/SSmD2oBxqLSO/wZc\nwGfAMqAU2AO8Guy1Yn3r27evNIMVK1aYct9YRevhwxQt8o5L+ccmUi6+Pfr3rgLdNoxEVQ+XS8q/\nj5LyqW5SOkqid98giaYW27dvL7/glXFlt7UvqrLiC+WXb1yoyvNPlV++5T1VfvZQ+eU7P1PlJ78z\nmHL+/PmgP8/3338vATlv3jwppZSLFy+W9erVk8XFxXLXrl0SkPv27ZNSSjl58mSZlpYmHQ6H9/yb\nbrpJtmvXzvt+6dKlEpBffvllmXu1a9dOpqeny9OnT3uPrVu3TgLyzTffrNTOhx56SALy6aefNhzP\ny8uTaWlp8pZbbinzuex2u/zLX/7i1WPSpEkGW/3tXbp0qffY8OHDpc1mk99959P1+PHj0mKxyMce\ne8x7bOTIkTIrK0sWFxd7jzkcDpmVlSUnTJjgPXbTTTdJQC5fvtx7bPPmzRKQHTt2NOg5Y8YMabPZ\nvMdyc3MlIF9//XWD3QsXLpSA/Pbbb6WUUu7bt08Ccvjw4YZ68+bNk4A8cuSIlFK1DUDef//9Mhjm\nzp0rhRCGz+ivW6DuvXv3loDhN+n5rK+99pr3WIcOHeTIkSMN5547d05mZGTI6dOnSymlPH36tExJ\nSZFTp04tYxMgH3roIe8xT/uoCKfTKUtLS+Vll10mx48f7z2+ZcuWoHTzsGfPnqDaa4V/J9wA62WQ\n/mkoI+0PAAvczjvAH6SUI4CuqEWV/hVSb0FThqFDh5ptQkyh9fBhihbfvAjOEhj0u+jfuwp02zAS\nVT2EUKPt5w6qBbdiDN02jNSvXz/ouhdddBGtW7f2jqLn5uYyYMAAEhIS6NixI02bNjWUDRkyJOjJ\ne+UxaNAgQ159z3wETyhLVVx9tTGb1Zo1azh//jyTJk3C4XB4tzZt2pCVlUVubm5IenjIzMwkMzPT\n+75p06Y0bdrUa2dhYSHLly/n2muvxWKxeO8rpWT06NFl5gmkpKQYnlB45gmMHj3aoGdWVhYOh4Nj\nx44B8Pnnn5OQkMA111xj+HxjxowByk4iHjdunOF9oL6hanH06FHS0tIqXIToiiuuMLzPysoiJSXF\n8Jv0fFbPCPru3bvZu3dvme8sOTmZQYMGeT/Tli1buHDhgiEMCuAXv/hFULZv2LCBK6+8kmbNmmGz\n2bDb7Xz55Zfs2rXLWyc1VYWAVqWbhyZNmgBKl2gRSib5LOBB1Ci79JwrpfxOCDEb5dQvCreBdYkt\nW7boSVR+aD18RF2L4nyV2i/rJ9D4kujdN0h02zASdT0yx0Dz7rDiz9DjOrBU33ELNzHRNm75tOKy\nhOTKy1MyKi9v0Lry8saZhrcFBQUhTbAbNmwY//rXv5BSkpuby9ixY71lnrj2kSNHsn//fqZOrVnY\nXKNGjQzvPRNJ/eOzK6NFixaG9ydOnACU81seDRs2DFmP8uwEZavHztOnT+N0OnnkkUd45JFHyr2G\ny+XCYlHjpIEZjjxOcODCYJ7jnvucOHGCkpISUlJSyr3Hjz/+WKndgfqGmpe8qKio0sm+5dlf0Wf1\n/0wAU6ZMYcqUKWWu6Vnh2NNxCUw9Wl4q0kAOHTrEqFGj6NKlC8899xxt27bFZrPxwAMPsGPHDm+9\nwsJCIPh2Wa9ePcN50SAUp90FOKWUUghxEmgLfOMuOwqYN228lhBsHF9dQevhI+pafLsQis7CkDui\ne98g0W3DSNT1EAJy7oR/3gTbP4ZuP4vu/StBtw0jTmdoi5UPHz6ct956i6+//pqNGzfy6KOPesty\ncnJ4/vnnWb58OVBxPHu0CJxsmJGRAcBrr73mTUPpT/369UPWIxjS09OxWCxMmzatTDYaDx6HvSZk\nZGSQlJRUZnKrh5YtW4Z0vVC1yMjICPvvy/OdzZkzp9zOlsfJ93TQjh8/bvhujx8/XuU9Pv/8c86d\nO8eiRYsMWWUCOy2h6uFJ99i4ceOQzqsJoTjtu1CO+X+B9cAdQohVgAO1Iur+sFun0Wiij7MU1syH\ntoOgTT+zrdHEKp3HQ+OOarS969UxsVKupuZ4HPG5c+cipWTQoEHesqFDhzJjxgwWLVpEcnIy/fpV\n/vfBM0IZrZHIwYMHU79+ffbs2cNNN91Ubp1QsukES0pKCjk5OWzevJk+ffqExUEvj8svv5zHH3+c\nc+fOMWrUqLBcMyEhIejvJysri5KSEg4fPlytlIrl0alTJ9q3b8+2bdv4/e9/X2G9Hj16kJKSwqJF\nixg5cqT3+DvvvFPlPTzOud3uW2fku+++Y9WqVTX6HPv27QPUZ4gWoTjtbwId3fsPoVZE9eTAcQLX\nl3eSJnh69uxptgkxhdbDR1S12PYRnDsE4+ZF754hotuGEVP0sFggZxZ8OBW++xw6XVH1OVFACWn2\noAAAIABJREFUtw0joYaCZGVl0bRpU5YsWULfvn29cb4AvXv3JjU1lSVLlnDppZcanKDy6NixIzab\njVdeeYVGjRqRmJhIp06dqhVXHgxpaWnMmzePadOmcfLkSa644goaNGjAkSNHWL58OSNGjOC6666L\nyL2feuophg0bxtixY5kyZQotWrTg1KlTbNy4EafTydy5c2t8jxEjRvDLX/6Sa665hpkzZ9K/f38s\nFgv79+/ns88+4/HHH6djx45VX8hNcnIyXbp04dNPP+Xyyy+nYcOGtGzZssIRe0+H7ptvvgmb0y6E\nYMGCBUyYMIGSkhImTpxI48aNOX78OKtXr6Zt27bMnDmT9PR0ZsyYwWOPPUb9+vUZM2YM69at4+WX\nX67yHqNHj8ZmszF58mRmzZrFsWPHeOihh2jbti0ul8tbzxPuEixr167FbrdHNbd/KHnaF0gp73Lv\nbwC6A1OBGUAvKeV7kTGx7nDmzBmzTYgptB4+oqaFlLD6GWjcCTLHVl3fJHTbMGKaHt2ugfR2kDtP\ntZ0YQLcNI/4514Nl2LBhSCnLpPazWq0MGjQIKWVQoTEZGRnMnz+fzZs3M3z4cPr161cm/WG4mTp1\nKosXL2bXrl3ceOONjBs3jtmzZ+NwOOjVq1e19AiGPn36sG7dOjIyMrj99tsZM2YM06dPZ8uWLWEN\nI1q4cCGzZ8/mvffeY8KECVxzzTXMnz+fzMzMoOK7/XE4HMyfP5+UlBSuuuoq+vXrx4svvlhh/fbt\n29O/f3+WLFlS049hYNy4ceTm5nLhwgVuvfVWxo4dy913380PP/xgeNIze/Zs7rvvPt544w3Gjx/P\nF198EZQtXbt25c033+TAgQOMHz+eJ554grlz55b5XkJtG5988gnjx4+v1iJV1UXIGPlDG0tkZ2fL\n9evXR/2+K1asqDD/aV1E6+Ejalrs/S+8cTWMnw99boz8/aqJbhtGTNVj/avwyR1w40fQ4VJzbPAj\nmlrs2LGDzp07R+Ve1SUvLy9iI9vxiNbDR3W0eO2115g+fTrHjh2LqrMaDULR4+jRo7Rp04Yvvvii\nylClqv5OCCE2SCmDWmI2MoFXGo0mPln1DKQ2hx4Tq66r0QD0uh7qt4TcJ822RKPRRJgbbriBli1b\n8vzzz5ttiqnMmzeP4cOHh21uQbBU6rQLIVxCCGeQW2SeOdUhPMs/axRaDx9R0eLYZvh+GQz8f2Cr\nOK1XLKDbhhFT9bAlwpDb4cBKOLDGPDvc6LZhpLIUfXURrYeP6mhhs9l49dVXa90oOwSvh5SS5s2b\ne1f8jSZVTUT9IyonuyYK+E/40Wg9/ImKFquehYT60PeWyN+rhui2YcR0PfrcpEbaVzwJ7d431RTT\ntYgxIpXJJF7ReviorhYDBw6M6uTLaBGsHkII7rnnnghbUz6VWiilnC2lfDjYLVpG11a2bt1qtgkx\nhdbDR8S1OHMAtn0I2TdDvfQqq5uNbhtGTNcjIRkGTYM9X8GRjaaaYroWMUY0F36JB7QePrQWRuJB\njxp1OYUQjYQQfYUQ+nmTRhPPfP28yrM94NdmW6KJV/rdCkkNVN52jUaj0YSdoJ12IcQfhBBz/N4P\nQy2o9A2wWwiRWdG5muAob6nkuozWw0dEtSg4DRv/Ad0nQoNWkbtPGNFtw0hM6JGUBgP+H+z8BI5v\nN82MaGsR6xnYbLZQlmOp/Wg9fGgtjERCj3D/fQhlpP0G4Hu/948Dm4GfAseBR8JoV50k1lOHRRut\nh4+IarHuZSgtgMG/i9w9woxuG0ZiRo8B/w/sKbDyKdNMiKYWdrs95h+pJyUlmW1CTKH18KG1MBIJ\nPQoLC6tchCwUQnHaWwG7AYQQTYD+wANSyiXAXEAnTa4hq1atMtuEmELr4SNiWpQWwtq/QeYYaNYl\nMveIALptGIkZPZIbQb8psPV9+HGvKSZEU4umTZty5MgRCgoKYnbEPT8/32wTYgqthw+thZFw6iGl\npKCggCNHjtC0adOwXTeUZwFOIMG9PwwoAjx/HU8CMfB8VqPRhMSmt6DgFAyZbrYlmtrCoN/C2hdg\n5V9gwnyzrYkoaWlpgFpopbS01GRryqeoqEiPqPqh9fChtTASbj3sdjvNmjXz/p0IB6E47duAG4QQ\nq4FfAcullJ6/Um2AE2Gzqo5itVrNNiGm0Hr4iIgWLiesmQ+t+kK7IeG/fgTRbcNITOlRvxn0vQnW\nvwLD74H0NlG9fbS1SEtLC+s/5XCzevVqevfubbYZMYPWw4fWwkg86CGCfaQnhBgLfAzYgVJgrJRy\nubvsTSBZSnl1pAyNJtnZ2XL9+vVmm6HRRJbtH8OiyXDt69D1p2Zbo6lNnD0Ez/aC7F/BuHlmW6PR\naDQxixBig5QyO5i6Qce0Syn/DXQGJgJdPQ67m1zUxFRNDdi0aZPZJsQUWg8fYddCSlj1DDS8CDpf\nFd5rRwHdNozEnB7pbaDnL2HD65B3PKq3jjktTEbrYUTr4UNrYSQe9AgpT7uUcp+U8n0p5d6A4y9I\nKb8Or2l1j7y8PLNNiCm0Hj7CrsWB1XBkg8oYY4mh0Iog0W3DSEzqMXQGuEpVCFYUiUktTETrYUTr\n4UNrYSQe9AgpKaUQwoLKGtMWKBOtL6X8R5js0mg0kWTVM5DcGHpdb7YlmtpKRgfo9nOVUnToDJVZ\nRqPRaDTVJpSY9i7AR0AHQJRTRUop42/IrhzMimnPz88nNTU16veNVbQePsKqxYkd8PxAuPR+GH53\neK4ZZXTbMBKzenja2vB74NL7onLLmNXCJLQeRrQePrQWRszSIyIx7cDzqJH5iUAWcFHAdnGIdmoC\nOHnypNkmxBRaDx9h1WL1c2BPVsvOxym6bRiJWT2adoasK9VaAEXno3LLmNXCJLQeRrQePrQWRuJB\nj1Cc9j7Ane6Y9u+klAcCt0gZWVc4fPiw2SbEFFoPH2HT4twR+N8i6H1jXIcr6LZhJKb1GHYnFJ2D\ndS9F5XYxrYUJaD2MaD18aC2MxIMeoTjtp4CSSBmi0WiiwNq/gnTBoGlmW6KpK7TsDZeMhjULoKTA\nbGs0Go0mbgnFaf8LME0IUSvi1mORDh06mG1CTKH18BEWLYrOwfrXVE72hu1qfj0T0W3DSMzrMewu\ntfLuxtcjfquY1yLKaD2MaD18aC2MxIMeoWSPaQJ0ArYLIb4ETgeUSynlQ2GzrA6SmJhotgkxhdbD\nR1i0WP8qlOTB4Ntrfi2T0W3DSMzr0XYgtBuqshZl/wpskbM35rWIMloPI1oPH1oLI/GgRygj7X8A\n2gOZwG/c7wM3TQ3Yvn272SbEFFoPHzXWwlEMX/8VLh4BLXuFwyRT0W3DSFzoMexOyDsGm96K6G3i\nQosoovUwovXwobUwEg96hLIiqqWKTYfNaDSxypZ/Qv4PtWKUXROnXDwCWvWFlX8Bp8NsazQajSbu\nCGlFVE1kady4sdkmxBRaDx810sLlglXPQrPu0GFk+IwyEd02jMSFHkKo2PazB2DrexG7TVxoEUW0\nHka0Hj60FkbiQY+gF1eqS5i1uJLD4cBmC2mR2lqN1sNHjbTY9Tm8fR387CXocW14DTMJ3TaMxI0e\nUsLfhoKzBH6zFizhHzeKGy2ihNbDiNbDh9bCiFl6RGpxJYQQtwkhvhVCFAghnIFb9czVeFizZo3Z\nJsQUWg8fNdJi1TPQoI3KGlNL0G3DSNzoIQTkzIJT38GOxRG5RdxoESW0Hka0Hj60FkbiQY+gnXYh\nxGTgOWAdkAS8CiwEzgN7gT9GwkCNRlMDDq2Dg6tVXnar3WxrNBroMgEyMiH3STXyrtFoNJqgCGWk\n/Q5gDvBr9/vnpZQ3ARcDhcCPYbatzpGQkGC2CTGF1sNHtbVY/QwkpasVUGsRum0YiSs9LFbImQnH\nt8DuL8J++bjSIgpoPYxoPXxoLYzEgx5Bx7QLIfKACcBSoBQYKqX82l02EXhMSpkZxHVaA/cA2UBP\noB5wkZRyfxDnJgGPADcA6cAm4B4pZW5APYv7HlOB5sAu4I9SyveD+axmxbRrNGHl1B6Yn63CEUY9\nYLY1Go0PZyk81wdSm8GUL1XYjEaj0dRBIhXTXgjYpPLyf0CNsHvIB1oGeZ1LgInAGWBFCPcHeBn4\nP+BB4ErgGPBvIURg4ulHgNnAfOAK4Gvgn0KIcSHeL6ps3LjRbBNiCq2Hj2ppseY5sCbAgKnhN8hk\ndNswEnd6WO0w5A44vA725VZdPwTiTosIo/UwovXwobUwEg96hOK0bwE6uvdXAPcJIQYJIfqhHOSd\nQV4nV0rZTEo5DvhnsDcXQvQErgdmSCn/LqX8D8r5P4hfPL0QoilwJzBXSvmklHKplHIq6gnB3GDv\nZwYXLlww24SYQuvhI2Qt8k/Apreh1/WQ2jQyRpmIbhtG4lKPXpMgtTnkzgvrZeNSiwii9TCi9fCh\ntTASD3qE4rS/CKS59x8AUoGVqFHsjsCsYC4ipXSFYqAf41FhOe/6XcsBvAOMFUJ41p8dCySgJsn6\nsxDoLoS4qJr312jih7UvqLR6g39ntiUaTfnYk2DI7bB/BRxca7Y1Go1GE/OEsiLqu1LKP7n39wBd\nUQ7y1cAlUsplEbHQR1dgn5SyIOD4NpSTfolfvWJgTzn1ALpEzMIakp0dVEhTnUHr4SMkLYrzYd1L\n0PlKyOgQOaNMRLcNI3GrR9+bITkDVjwZtkvGrRYRQuthROvhQ2thJB70CCqLvBAiAXgceEtKuQ5A\nSnkB+CqCtgXSCBUHH8hpv3LP61lZdoZtYD0DQojbgNsAWrVqxYoVKty+ffv2pKamsnXrVnVyo0Z0\n7tyZVatWAWC1Whk8eDCbNm0iLy8PgN69e3Py5EkOHz4MQIcOHUhMTGT79u2AWnUrMzPTmxM0ISGB\nAQMG8M0332BxLzaSnZ3NkSNHOHbsGACZmZlYrVZ27lRRSM2aNaNdu3Z88803ACQlJdGvXz/WrVtH\nUVERAP379+fAgQMcP34cgKysLJxOJ7t37wagRYsWtGrVCs+k25SUFPr06cPatWspKSkBYNCgQeze\nvZtTp04B0KVLF4qLi9m7dy8ArVu3pkmTJnz77bcA1K9fn169erF69WqcTpW6f8iQIezYsYPTp9VX\n0K1bN/Lz89m/fz8Abdu2pWHDhmzevBmA9PR0unfvzqpVq0hMTEQIwdChQ9myZQtnz54FoGfPnpw5\nc4aDBw9G/XvauHGj9zFatL6n0tJS73dQ1ffU8uDHdCg6y8lOk9jpbseR/J5WrlyJlDKq39OpU6c4\nd+5czH1PZv2evv/+ewoKCmLuewrm93Sk7U9ptfNlNn76Kp1H/qLG31OTJk2wWCwx+T2Z8Xtq2rQp\n+fn5cfl3LxLfU2pqKidOnIi578mM/092u53evXvH5Pdkxu8pOTmZiy++OOrfUyiEkj2mALg8MFNL\nTRBC3Ar8nSCyxwghvgDSpJQDA46PBr4EhkkpVwghXgTGSymbB9S7BNgNTJZSvlHZvczKHrNixQpy\ncnKift9YRevhI2gtnKXwbG+1mNKv/hV5w0xCtw0jca1H0Tn4S3e4eDhcV+mf5qCIay0igNbDiNbD\nh9bCiFl6RCp7zLdA9+qZFBbOAA3LOe4ZOT/tVy9diDI5xALraTS1j20fwrlDMGS62ZZoNMGR1AAG\n3KZWSD0RbD4DjUajqXuE4rTPAu4UQlxZjkMcDbYBFwkhkgOOdwFK8MWwbwMSgcBgXk8s+/aIWVhD\nMjOrTHNfp9B6+AhKCylh1bPQuBNkjom8USai24aRuNdjwK/Bngwrn6rxpeJeizCj9TCi9fChtTAS\nD3qE4rT/E8gAPgYKhRCHhBAH/bYDkTHRyxLADlzrOSCEsAHXAV9IKYvdhz9HZZmZFHD+DcBWKeW+\nCNtZbaxWq9kmxBRaDx9BabH3v2qVySG3gyWUn3b8oduGkbjXIyUDsn8FW/4Jp7+v0aXiXoswo/Uw\novXwobUwEg96hPKf/T/A+8A/gLdRk1D/47f9N9gLCSGuEUJcA/R1H7rCfWy4u7ydEMIhhHjQc46U\n8ltUusenhRC3CiFGodI9XgQ85FfvBPAUcK8QYqYQYoQQ4q/ASODeED5v1PFMDtEotB4+gtJi1TNQ\nvwV0v7bqunGObhtGaoUeg38HFjusfLpGl6kVWoQRrYcRrYcPrYWReNAjqOwxAFLKm8N438BFlZ53\nvy4HRgACsFK2U3EL8BjwKJAObEZNjg1cxup+1Cqt04HmwC5gopTykzDZr9HEFkc3wb7lMPphsCVW\nXV+jiTXqN4c+N8KG12H43dCgtdkWaTQaTUwR9Ei7EOJBIUTLCspa+I+KV4WUUlSwjXCX73e/nx1w\nXqGUcqaUsrmUMklKOaC8/PBSSqeU8lEpZTspZaKUsoeU8r1g7TOLZs2amW1CTKH18FGlFqufhYT6\nkH1LdAwyGd02jNQaPYZMBySsfq7al6g1WoQJrYcRrYcPrYWReNAjlPCYh4CKhj5a4heioqke7dq1\nM9uEmELr4aNSLc7sh20fKYc9qUHUbDIT3TaM1Bo90ttCj1/Ahtcg/0S1LlFrtAgTWg8jWg8fWgsj\n8aBHKE57ZRljGqJWIdXUAM8CBxqF1sNHpVqseR6EBQb+OnoGmYxuG0ZqlR5DZ4CzBNYsqNbptUqL\nMKD1MKL18KG1MBIPelQa0y6EGIGawOlhqhDiyoBq9YCfoFItajSaaFJwGr59A3pMhLRyo9c0mvii\n8SXQ9WpY95IKl0kudxFrjUajqXNUNRF1OPAH975ETQQNpASV+/z2MNpVJ0lKSjLbhJhC6+GjQi3W\nvQSlBSrzRh1Ctw0jtU6PnFmw9X345kUY8fuQTq11WtQQrYcRrYcPrYWReNBDSCmDqyiECxgopYz9\n5wc1JDs7W65fv95sMzSayikthL90hVbZMGmR2dZoNOHl7evhwCqYsRUS65ttjUaj0UQEIcQGKWV2\nMHWDjmmXUlrqgsNuJuvWrTPbhJhC6+GjXC02vQkFP7ozbtQtdNswUiv1GDYLis7CupdDOq1WalED\ntB5GtB4+tBZG4kGP2r1sYpxRVFRktgkxhdbDRxktXE5YPV+NsrcbbI5RJqLbhpFaqUervtBhJKyZ\nr54qBUmt1KIGaD2MaD18aC2MxIMe2mnXaOKRHUvgzD4YcjuIyhI7aTRxzLC74MJJ2PgPsy3RaDQa\n0wk6pr0uYVZMe3FxMYmJejVLD1oPHwYtpIS/j1ShA79dDxarucaZgG4bRmq1Hq9cAWcPwO2bwJZQ\nZfVarUU10Hq4KTgNB9dQknYRCS0668EOdNsIxCw9IhLTrok8Bw4cMNuEmELr4cOgxYFVcHSjyhhT\nBx120G0jkFqtx7A74fwR2Px2UNVrtRbVoE7rceFH2PA6vPEzeDIT3rmehBcHwdPd4ePfqgxFF340\n20rTqNNtoxziQY+qUj5qosjx48fp2LGj2WZEF0cJnDukRtLOHICzB9X+2UM0uVAM27tBWiuVg7xB\na7XfoFWdWfnTg6FtrHoGkhtDz1+aa5SJ1MnfSiXUaj06jISWvWHlU9BrElgr/7dVq7WoBnVOj/yT\nsPMT2P4R7FsB0gkN28OgaXDJZez++jMyLYdgx2K1xgUCWvSAiy+FDpdCm4Fgj/3Uf+GgzrWNKogH\nPUJy2oUQArgKGAZkALOllAeEEMOB3VLKoxGwURPPuJyQd8ztkB/wvZ49qPbzjoJ0+epbbNCgDaS3\nweo8B3uXQv4PxjoACfWV8+5x4tNa+71vrZz8hJToftZocHw77P4CLv0D2OuZbY1GE3mEULHt71wP\n2z5QC4lpNP7kHYedS2D7x7B/pfp/0ehilVmrywRo0dMbDvPDYcjMyQGnA45+C98vVf9n1syHVU+D\nLUlN7vc48U27gkUHJWhig1DytDcEPgMGAHlAKtBPSrlRCLEQOC2lrBULLJkV037y5EmaNGkS9fvW\nCCnhwim3Q76/rGN+9hC4Sv1OEMqhTm8HDdsZX9PbqjJ3yIdXD6dDOf7nj6jtnOf1sO/9hRNlbUtK\nN47Oex16v/e2+Ijn82rx4a/VCNKMbXV6pci4/K1EkFqvh8sFfxuinLFfr6nUiar1WoRIrdUj7wfY\nvlg56gdWARIyMqHrT5Wj3qxbuXHrFepRnAf7V/mc+FO71PGUJnDxCJ8TX4tWnq61baOamKVHKDHt\noYy0zwPaAEOAdaiVUD18BdwVwrU05eB0Os02oXwKzxpHxwMd89ICY/3kxsoRb9FL/fH0d8wbtA7a\nUfbqYbVBuhp9rxBHMZw/6ufUH3a/HlX7h9dB4emy56U0UX+Ey4zUux37+i3Aag9SqMjhdDrV59my\nCPrdWqcddojh34pJ1Ho9LBa1Sur7U1ToQ5fxFVat9VqESK3S49wRlTlr+0dw8GtAQpMsGH6P+l/T\ntOoJphXqkVgfOl2uNs+9vl+mnPjvl8GWf6rjjTsp5/3iS6H9kLhe+KtWtY0wEA96hOK0TwDulFKu\nEUIEzn47iHLoNTVg9+7dNG/ePPo3LinwiyU/WHbEvOicsX5imnLAMy6BDqMCRszbhi0sJSQ9bInQ\n6CK1VURJgc+JDxytP/29eqxaHPBZEVC/uTEMJ62lMSQntVnEJ4Tu3r2b5gWfqycbA38T0XvFA6b9\nVmKUOqFH16th6Z8gdx50vqpC56xOaBECca/HWXf8+baP4LB7fcemXWHEvW5HPSukywWtR4NW0HuS\n2lwuOLFNjcB/vxQ2vAZr/6bCOVv39znxLXtXOeciloj7thFm4kGPUFpXKnCkgrIkQOdPilWcpWqy\nZ2A8uccxDwwtsSX5wlXa9C8bypKUHp/pshKSofElaquIovPlOPbukfvj22H3l2WfLFhsakS+vDAc\nzwTalCY10sxamq+yIHS9Wn0HGk1dw2KFnJnw8TTY8xVkXma2RZpIceaACnvZ/jEccYeqNusOI/8A\nXX4KjTOja4/FAs27q23I7VBaBIe+9jnxSx9TW2IDuChHOfEdRqq4eo0mjITitO8CxqBCYQIZDmwJ\ni0V1mBYtWlTvRJdLxXz7j477Z2I5f6ScyZ6tlVPecazbIW/vc8xTm8aEU15tPWpCUpraKhq9kRIK\nz7jj648a4+rPH4EjG2HHJ+AsNp5nTSgnDCdgAm29hhXq3jFvFZTkqX8YGnPaRgxTZ/TocR0sm6tG\n2y8ZXe7vpc5oESRxo8fpfW5H/SM1QRTUBNJRD6kR9YwOYblNWPSwJ7nj3EcAD6u0kfuWuZ34ZSqE\nC9T/U88o/EXDYi6sMW7aRpSIBz1CmYh6GzAfeBh4C9gLjAbauY/fJqV8M0J2RhWzJqIWFhZSr145\nGUGkhIIf3Y74/rJx5ecOg9N/ioFQI7+ecJXAkfL6LePiEV6FesQ6nsm5/qP1hgm0R1TWHJfDeJ49\n2e3YB06YbY38+DeIpl1g8kfmfKYYI27bRoSoU3p883f47E646RM1qhlAndIiCGJajx/3Kid920fw\nw//UsZZ9lJPeZULl4Y7VJOJ6SAk/7vGNwu9boQZcECp8xuPEt+lveiKEmG4bJmCWHqFMRA1pRVQh\nxFzgTlQojAAk4AKekFLeXw1bYxJTnPai82z874f0uSij/BHz0gvG+skZxjhy7357NWEzTrKiVMaK\nFSvIySn7T7lW4HJC/omyWXDOH3aP4B8pm+ryxo/UH3xN7W4b1aBO6VFaBM/0UBMQb1pcprhOaREE\nMafHqd3KSd/+MRx3P6Bvla2yvnQeH/Hwv6jr4SyFIxt8Tvzh9Sp3vD0Z2g3xOfFBTKINNzHXNkzG\nLD0ilT0GKeXvhRB/BS4DmgI/Al9KKb8P3UyNgU9n0WfLInDPsyGhvvrj1ehi9aM2OOZt43rGugYV\nn5vWQm2tK/itOktVWrPzR/jfpg300A67RqNCEwb/Dr74AxxaB236mW2RpipO7PSFvpzYro61GQBj\n56hJxZVlBot3rHZoO1Btl96rEjvsX+lz4v/9paqX2lyF23S4VL3Wj+0JkRpzCNppF0JYpZROKeUB\n4KUI2lQ3yf4V3yd25uLeI9TqbZXEN9cVUlJq4eJIoWC1e1NdOk4lmG1NTFHn20YAdU6PvrfAij/D\niifh+ncNRXVOiyowRQ8plXO+/WM1qn5qFyCg7SC4/HGVstOkfOemt4+kBpD1E7WByo7jyQ2/+wv4\n3zvqeNMuvtzw7QZHZLFA07WIMeJBj1Bi2o8DbwNvSCk3RNQqkzEjPKbY4cQqBDarXnlNo9FoqmT5\nPFj6KExdoZah15iLlHB8qy/05cfdICwqBKTLBDWirkePK8flUrH9Hif+4NcqqYE1QT2ZuHiEcuJb\n9Ip4mmFN9IhITLsQ4nlgItAQlUnmH8CbUspD1TU0VjHDab/nvf/x7vpDWC2CJJuFJLuVRM+rd994\nPMlmJdHu2bf41fOrY9i3kGizlrlOos2CiMFR/bVr1zJgwACzzYgJtBZGtB5G6qQehWfh6e4qtd7E\n172H66QWlRBRPaSEY5t9oS+nv1eOevuhKjVj56tUNrIYIq7aR0kBHFzjduKX+eYA1GuostF4RuIb\ntq/W5eNKiyhglh4RiWmXUv5GCDEd+AlwI/AQ8KgQYgXwOvC+lDKvOgZrYGy3ZjjOn6B5q9YUlboo\nKnVS7FCvRaUuih1OiktdnL5QQnGpiyKHs0ydmpBgs/g6C3YLSbbyHf7EijoO5Z1bQSfBs2+v4qlC\nSUlJpeV1Ca2FEa2HkTqpR7106P9/sOIpOLkLmnQC6qgWlRB2PaSEoxt9edTP7AdhVU7k4NuVo57S\nOLz3DCNx1T4SkuGSUWoDlbzg+2W+ePjtH6vjjS72OfDtc9RvIwjiSosoEA96hDoRtRT4CPhICNEA\nuA64ARXjPh+1AJOmGozMaob95Hfk5IS2upsHKSUlTpdy8Mtx+D0dgSK381/kMJYZzzGeX1Di4PQF\nl/fcYr9zS53BZx8KxPNUIdH9pCDJblWdB3cnoTCvgHcObiTJbiU5QW31vK826tn9jtkw8xzMAAAg\nAElEQVStJCfYfOV2dTxWnyJoNJowMPA38PVfYeVf4Oq/mW1N7UVKlQFl24ewfTGcO6jW+7h4BOTM\ngk4/gZQMs62s/aQ2hR4T1Sal6qx6Qmk2vwPrX1ZPOlr19Tnxrfup+VGaWkFIKR/LnCxEG5TTPg1o\nIaWsFUFWZuVpdzgc2Gyxnz/dH4fTRbHDVaHD7+/gG54QlNNx8D+32N1ZKCx1UljipKDUSUGJkxJH\naE8ULIJynXm1byvbGbCrDkGy33vP+fXKdB5sWC3R6RDEY9uIJFoPI3Vaj8/vU0vK/24DNLqobmtR\nDtXWw+WCw+t8I+rnD4PFrhzBLj+FTlfE3GJBwVBr24ejRH1fHif+6EaVMjghVYUreZz4xh29SS5q\nrRbVxCw9Ipan3X3x+sC1qBCZHKAYWIyaoPpZiLbGJGY57Tt27KBz585Rv2+sUp4eTpeksNSpHPoS\n5cgXlKiOgNr3HffVc1FY6vDWLXTX8z/P0zFwukL7PSTYLGU6A8l2v06Cn7Mf2BmouPOgniIk2X1P\nCXTbMKL1MFKn9Th/TOVt7zUJrnq6bmtRDiHp4XLBoa/djvpitQicNQE6jFKTSTtdEXToRaxSZ9pH\n4Rm1sJPHiT+zTx2v39KbG35PUQMu6ZgFCOXIC4tvH/d7774I2LeEeF7sY1bbiEhMuxDiStSo+lVA\nEpAL3Ab8U8eyh4dTp06ZbUJMUZ4eVosgNdFGamL4e8OeEKNCr8Pv9OsYGDsD3uOlfsf9OgpnC0o4\netZYv7DUGZI9QuB1+HGWkpR0zM/Wqj+L4X2Z8oD3ATXKlld+fmCNqs8P0b7A+i4n6anHSEmwkZLo\n3hKspLjbRrJ733Ossjq1IYSqTv/tSGsBvW+AbxfC8LvrthblUKUeLqea7LjtI9ixRC3qZk2EzMug\ny8PQcaxKU1hLqDPto15DlVqzy3j1/sx+Xyz8zk9h05tcAhC1odbqOvtVnOfdp5xrBF7PUv613XXr\nJXWFzvOjJUi1CMXzWYzKGvMYsFBKeTAyJmk05iCEUJNtbVYiMZbkckmKHOV0Bvw6Ad6nAB5H3/0E\n4ODhYzRtZnwULTA6moF+Z6AbWra8ivPL+LERvl+Z8yt2pA8ePkKDjEbkFzsoKHFwrrCUY2cLuVDs\nIL/YwYWS4J+aWC3C6Ny795MTbKQm+h+3kZLoKbO6HX/VAUjxq5dst2KJUtiUxs2QO2DD67D6OUgZ\nZ7Y1sY/TAQdWqRH1HUvgwgmwJbkd9Z8qR10v4Fe7aNgesm9Rm8sJxzaxa+ViOmVeAkj3SIlUITXe\nfRmw7yp/PyznUc41qjqPCu5d2XkV2+wUSVH5KmpCKE57fyll9GNG6hBdunQx24SYorbpYbEIkhOU\noxcqP/7YkowMPdHLw48/Nq9UDyklxQ4XBSVOLhQ7uFDiUK/FTq9jX1Di9Dr9nuMX/PZPXygwnB9K\nhqZkd5hTaqLV69gnux371AS1n+rXMUj2PjEwPgnw1EmwVZ5pqbb9VkKmYTvocR2sf5WuN91stjUx\nhbdtOB2wP9ftqH8CBafAngyZY1ToS+YYSKz9uSTq/G8FVI73Vn1pPLo96P8rXtJ//NFsE6oklJSP\n2mGPMMXFxWabEFNoPXxoLYxUpYcQwptetFFKeFaTdThdFJQ6Dc7/BfeofnkdA+9xd9mP+SUcPF3A\nhWIHBcVO8kscVYY5eUiwWpTT7zfa77/vLCmiYdoPJNosJNgsJFgtJNrVa4LN6jtus3j3E/2OG8+z\nkmC1YLeK+AobypkJm9/GvuElaDPPHBv8v1DvfnnH/I7X5FjAfaSUOF2SUqeLUpfE6XCSt+1LUk+u\nxL7nX1gKTyPtKbgyx0KXCVg6XoaIwEqbsYz+W+ojXrVwuSQOl8Tlbu8Ol8Tlkjjd7w2blN76Tvc5\n3vp+dZwuibU4j5wY78RU6rQLIV4BHpFS7nPvV4aUUk4Jn2l1j5SF45COUyD8Agkyx8A1L6v9Z3rC\nhYCeYLerYfxzav+JDuAoMpb3mQyXz1GjLHPblr3poN/AyD+ohUqeKmcCxvC7YegMOHcEnutbtvyy\nP8KA21TqqReGlS3/yVPQexIc3gCvXlG2/GcvQtefqtyzb15rKGqKFX75pspRuy8X/n0/2Oupx7j2\nZLAnwYh7VX7mY5vVxCl7EtjqqVd7MnS8XGU4OH8Uzh50n1/PVy+5UVysLLd3715atjRn2e9YxAw9\nbFYLaVYLaUnhSZ8mpaSo1KXCefxH+d3Of0Gx70lAfrGxY+B5SnAyr5j8Ygf5hUVIcY5ih4sSpyvo\nzkBV+Dv1iTZrmQ6Br2PgV+7fMfDrBBg6BxVcL8luIcFqLVPXZgmiA9E4E7r+lNRNf4dtCz0ie9T2\nF97/WzAck+UcK68egCgzE8N8BOqfug2o5z7WEMiT9fiXqzefOQewvKgnxRsTYCPAMoQAixBYhcBi\nwf0qsFqEd98iyj9uFQIhVIiZ1SLUdSx+13If8xxXr1UfN5bjvZfhHhb3vQOOe+paRMB57v0dO3fS\nOUtUOo+nqjk45Z2jzpMVl1Vw/Urn9xjOCcXe4GzavXsPF11cjFOC0+XC6UI5tU6js+sKdIalxBlQ\nx7Mf6Ag7y3OW3fcwXFdKXC5wGOxw4ZKUuWakGNbaTk6PDhG7fjioaqT9UuAZ9/5IyrYNf2LvL1ic\n8XZhNvbSfAD3P0kLSXmZXOUuX5MyksR6RarMvUBRYqM+eNabk70mIWTAZMc2/dWrsKhYtkBa91Ov\ntkToV06fq0Uv9ZqQohYyCaR5N/VaryEMmFq2vKk773xqUxj467LlGZeo1wZtYNA033Ep+eHgPlo3\naKPeWxMhrSWUFqqOSeEZ9erppBzfpnI1B37+X69Rjvn2xfD5PWXvP32zivVb9QzkPunuEHgc/3ow\n+WOVLWHzu/Dd577Ogi1JlQ//PVhtcHCtmp3vOW5LUpq1dk8ILzyjMjN4yiyVhzvUejxxhRaLei0t\ndMcXOn1xhnb3d+AsVYuKeMtcJBUchaLzkJSmUp0VnMI38ci9Jaaqdu10qHbiXyYsqrNm4kiyEEJl\nF0qw0qR+Yo2utWLFCnJycgDlBDhcKjyoxL0VO5zuV5f3uOdYidNFcal6NRz3r2+o4/Rdo9TF+UKH\n33Wc3rrF7uuFA4ugzJOAwKcEiTYrzbmGIQlO6iUleh0Cl8T7j98lJU4p3GW430ufY2BwdoThVe0T\ncKycMul/TJQ5z+J2ki0WCxYLCGHB6nZ8hbB4HUyP02rxOpwW976qb/E60RZvfa+TbXFfR8Du8wk4\nu/yUEpFAtpT09nxutyMkpccZMh436OfvlElfuctFucedLrcD5nQFlBuv5dXfBc6Ae7hc/t+L73hY\nOqQbN4bhIrWEbdsrLPLvgNksFtV5c7c5q18Hz+bXKfJ0qLybu47daiHJrtqpob414Dxvu/bc09Oh\n893Ts++9t/v8YOyoqI5FCPbv/F8Uha8eNcrTXlsxK+XjK19tgqQGnC0o4WxhKWcLSunaMo2pw1XP\nr/9jX3Eiz/g46xf92jD35z1wuSSdHvgXKYk20uvZSU9OID3ZzlU9WvLzvq0pdbp4a+1B0pPtNKhn\np6G7vEn9xGrFWEeDffv2cdFFF4V2krMUSgugtAgchSq9lS0Bzh2Gkzvdx4t8zn/PXyrnbu9/4bsv\n1Dmlhb7ya19Xq9KtehY2vGY811EED55Wjt/i22Hj60Zb7Clw/1G1/94U2Pqer8yaCOltVG5pgH/d\nA4e+8XuSUA/S26qnJMCpz+fRWJz1Oq24nNCgNQy9Q52/dA6cO2Qsb5IFw+9S5Z/MgLwffGXSpTps\nl96ryt++HgpPG8svGQ0j71flLwz3c6zdW/dr1FMapwP+0tVYJl2qE3fpfeopzpMdjU45wKX3qyc5\n5w6r8wMZO0c9CTqxE54vZ2np8c+pJ0mHN8BLI8uWX/MqdPuZeorzjwlly6//J3QcozIpvHtjWaf+\nxg+g7UDY+gF8Oqts+Q3vQ7MuqkO37E9lyye9p77jTW+pPOKB5b98R3Uov10I/3u3bPnEN1QH8duF\nqsNoKLfCz/+uPse3b3J+5zLSGrdQbS4hRWX76HOjKj+5C4rzVTtOSFF5mxNSVIcmwngyMvl3Aowd\nBaehI2Go49c5KHH6dzbKdix8dZwUFBaTXC8Ru9WC3WLBZlUOg939arNasFs8+74y43H/+gK7xYLd\nJrBZyrmO+0mAuk5l9dXxaE9Srtbf0RhGGjpjxhAIp59jX7bzoToNR44cpnXr1kBVk+crnjgvDMcD\n6lV4PRCeiZPCgpAOLEVnweVAuEoRLgc4S3CmtoCkNETRWeyntmORTnCqcuEqpaRlf1wpTbGeO0DS\ngWXgKlXnOx3gclDY9Tpc9VthP/4t9Xa85z63VN3HWUr+sPtxpbUhYe+/EV+/QFJ6U0isj0hqgEis\nj8yegjU1A8vZ/Yhzh9WE5KQ0SGyg9m3hCTeMRcz6rUQq5eMwYKOUMr+cshSgr5QyN3gzNYFMHHgJ\nqakVTwT65v7ROJwuzheplIJnCkppUE89qne4JL8e3oGzhaWcKSjlbEEJP+aXcK6wFIAzBSU8tHhb\nmWveNbYT0y69hKNnC5n00lrSk+1Gp79nS/q0bcj5olI2HjjjdfbTkxOon2iL6D+gJk2ahH6S1Q7W\nBmVTlDVorbaK6DBSbRUx5Ha1+SOl76/yZQ8rB7rU49QXgsvhq9t7knKSHYW+DoXNb6Z6vUbKgSt1\nP0XIO2YIdUo/8l/4YbN7hNjtuLXo6XPaD69TzpnFz7Gz+P28zx1RIUIWP6evtMBXLoTSzt8p9J+U\nlnGJ+jz+jmPD9u5zLf+fvfMOj6u4+vB7tOrNslxl2ZbAuGJwwd2AKcZ0A6F9YHooCRBKCCGBADYm\nlAQIBEwooYYSeqghAVyDjW3ccMO4917VpV3N98fcLXfVVrKsVTnv8+yz0szcO+f+dvbumbkzZ2y0\niXCnM6ufzY9NtE9ZXCPcMZAzwuYntoLREyrmdx1u89M6wtl/deUVFxeTmDPSEaerzXd1Gkyw/szD\n4ZSJFfPbOI9BM7vZKWDhnY7UDs75c6Dv+RXz/dE1UttDl6EV8z3Oj1tcMqRlVcwX52lLuc8+LQhE\nOfDnO22rYCfsXu0+NtQ12LGMtA1fweqiYJtJah102ic/CMs/wUV6Z/i1cz/48Aa722WoQ9/mCDjt\nIZs/71Uo3G3z4hzHP72T7dAA7Nto21p8su00eILtLjQiU0ORn59f7X20pVGn+2hjwhg7GON3PCWG\nWP93b98G+90pL3PKeO39xP/dXj0FvCU2vbwMfF66pHcguUNv++RzzvPBc/ucMl2G2ig6ZUXw5e+D\neT6nniPPs/eD/J3w3pX2eF+prcNXZu/J/S+FXavgpTFOftB+zv4rHHMlbPoe/n5yxeu94GV7/jVz\n4IPzK+Zf+i5k58C21TC54tPjtJ6joFU32LgFlr9nN8TyxDnvsSTG+SAtEeIFn8nDs2MblByAkjx7\n/xh4qX20teR9e+8I587VkNIWZj0Li9+FhHTHsW9l/x4z0da36Xs7kJSQbl+Jznt61kE0hkNLU/iu\nRDzSLiI+YLgxZk4leccAc3RH1IMj9BF3fVNebtgbGMEvZV+hHcnv0ymd3lnpbN1fxB8/X85+Z4R/\nb2Ep+wvLuH/skVxwTGfmrd/L+X+b6TpnjMCz4wZyWt8slmzezxNf/URGUhytkuPISIqndUocp/Tp\nQFarJA4Ul7GvoIyMlDjSEmIjWuB2KPVoaqgWblQPNwE9fF4oK7CdvzSn07F9qe20leZDaYF9xcbD\noGts/v/+YteElBY6+fn2CcHFzrzwF060uyuGkjMSrnYCPD89CHavDObFJtpNeC581f7/9iX2vP4O\nQXyKnbbX/1KbP/8f9kfenxfndAoynKlxpYX2yVOEU5mabdswIR26mFirh7fEOlqm3Dqh/vyUdraD\nXriHuTO+ZvDA/kHHtdxrt7kH29HftzGY7rODPPT9mX1fPRl2rXQ7nbGJMOJXNn/ea7Z9hTrNyW3g\n1D/a/K/Hw7bFTp7Plss8HM57zub/cxxsX2Lz/Md3HgSXvmPzw9sWQPdTYdy79u/HekD+dnd+3/Ot\n4wvwULZtzyFs7XQqWde/a/WcEB7cV2DEzTDmQdtmn+oXcHbxxNu/h1wLg6+Fwj3w7hX2swhxiul3\nKfQ8zU7pm/qIPc4TG3See54OnQZYp3/pR+48Txx0HmLbftFe2PpDyLmdV0ZX6ySXFUHxfndeTFyt\npv1V+K54S5xzxNh7xp7Vdhqi36kvPmA7JZ44+wRw6UfB9JI8q/Vd62z9H99ky4QSnwp3b7Z/f3qr\nbV+hTn2rznDm4zZ/2cdWQ39nICHNdhba9bT5oYNm9US07h2HZKSdik+SQkkAardzjNKgxMQIbVIT\naJNa+SPxrFZJPHPpwArp/k5dz45pfPDL4Y5DH3T8j2hvR7QKS33syCvmp+157CssI7/EjjL37JBG\nVqskJi/fwW3vLATsnLhWSXFkJMfx3GXH0KNDGrPX7ObLpdsCI/mtkuJYvbWMQaU+kuI9rNqRx6od\nFR7ycFKvDsTHxrBiWx5rd1XMP/XIjogISzbvZ9PeQleeiHDqkR0BWLRxH1v3F7ny42NjOKmXdXzm\nrd/Lzjz3It+k+FhG9bA98zlr97CnwD11KS0xjpFHtAVg5updHHCeevjJSI5n2OF2pfqMlTspKPG6\n8tumJjAo18Zm/2GHF9+KHSTGBXdTzUiOo32aHa33+sqJ9bTwefJNnPLAbr8+yo2hQ7r9bBds2Mvu\n/FIndr9dhNomNYGx/exC3Mf/u4KVa4uZV/ITaYm2U5zTJpmhzmDkxrjDSMjqRnpiXOUbSR17e/WG\nXTfZjiT6HfrSAvdTnNHj7dMAf4egND840gm2rLfYjtb7y0DQaf/81/b8oQy+1v54+8rgoSxAHKff\nGekf9HPrXJXkw8c3ujoEXTdvh5w4+ySgcI9dr2J8Qae33GcXv+eMsA7r9D+5HV7js+fPGW6nZk0O\ne0pT7oNRd0HXobBxLnx1n3vqV7nPLsDvfAys/Br+e4972pnxwcVvQtbR8MN78J+7Q4516rh+il1Y\n+93f7AJ8/1MYP7cvg1bZ9tqm/LHiZ/a7DdbZ+d9fGDzrrzArLP++vdYxm/0cfB8WYyI2Kei0L3zb\njqaGktw26LSvnQ6rvnY7rq1zgmWL9lnnMybOlolLsp+Tn3Y97dMbj+NsxsQF1zmBXWdVtC/o2MbE\nQmbI9IXT/2TbSIwnWH/oSO4Vn1jPJSZ4/PofVpAF1uH77Vq3UxwalCA+Be5cVVHbgA6ZcNVnVeen\ntoeznqgmv50N4lAVSa3h8FFV5/vX/NQnoVPmWmXbV1UMuMy+qmL0BBh2Y4hTf8D99Lnj0XZwwd8h\nOLDF/fR3zouwbob7nB36wi+/tX+/NMZ2GP0j+Alp9mn26Y/Y/G//as8XOsqf0RU6Oev0CvfYtheb\nENW1TbWlpugxucDhIUmDRCT8uWMScA2gmy0dJGlpjW8zC/8PfGpCLMfkZFZZbshhmXz2q2APtcxX\nzv6iMtISbRMb2LU1j13YL+Ds+0f9/fmrdubz3vebAs6+n/8bU0pSfBJfLN7GE1/9VKHeRfePIT42\nhg8XbOL5aWsq5K9+6Aw8Av+cu4E3vnM30YTYGFY8aCPavDpzHR8t2OzKb5MSz7x7TwHguWmr+WqZ\ne0Sna2Yy0397IgBPfv0TM1e7I/v0zkrn37daTR79cgWLNu5z5Q/Obc17v7BTRCZ8uqxCp2RUj3a8\ndo1dSPzykhJ2z53ryj/zqCwmjbMdrQETv6Ko1EdSnIfEeA+JcTGc0y+b35xqRyV+/upc4jwxJDl5\niXEeRnRryyl9OuD1lfP23I22MxDnISk+hsRYDzltU8jOSMJXbtiZV+Kc2y4GjHYowGh8V/zRXgpL\nvRR7y8nOsD+YK7fnsWlvkWuzLAEuH54LwD9mrWPBxn2uHXVbJ8fx/OV2YOXa175nxsqdlIQs2uyT\nlc4XTtu5/5Ol/LBpv8uWQTmtA077d2t2s3hTGV+uDY5Iju7dgaFOh/C8Z2eyK992KOM8QlpiHGP7\ndWL8WLuO4Ja3FxDrEdIT40hLjCUtMZajO2cw7PA2GGNYsHEfaQmxpCUmk5aUTnIrj/vz731W9cJd\n/I/q829bYp8OhDr9aVl+0e2Pf2heaYGdMgV2ZHDnCldejq8UDu9unfbi/dbxDV983LGvddpL82Hl\nV8EpYf5dE/s4ayC8xbBnrXtamsTYEWOw5WM8IHHuqV0eJ8JQQhq07RFMF09wkTTYkcVeZwTTYzzO\n1LR0m99pgO1UhdvvP/7wEyE+hXIEbzmUllv7U52pdyvansLuIxLpmJ2NJzaeGE8syUmJ+IPa7el/\nA7E9LsATF0dsXAIeTyyeuITgCN2Zj8Fpj7id5tAOmz+yWVWc/WT1+SffV31+ZcELQjny3OrzO1eM\neJbYJsQxTK76N60lcEjvoylt7asqBv+88uAXfsa9FzLKf8D+Hdr2+l0Mu9e480M7tgvegF0r3Ofs\neSZc8pb9+5nBNoBBTJx16tv2JG3gw7W+zIam2ukxInI/cD/uyDChv9bG+d8L3GSMefFQGNnQRGt6\njGKd/X2FZewvKqXMZ+jWLpX42Bh25pUEHI9QenRIwxMj7DhQzO6C0gr5vTqmISJs21/M3kJ3vgj0\n6mh/HDfvK6owEu6JEXp0sDe1jXsKK3Qo4jwxgScNG3YXUlDqzk+IjeHwdjZ/7a4CisvcD6OS4jzk\ntrWjTqt35leItJGaEEuXzGQAftqeR36Jl2LH6Ssq89EhPZHBzkj8pCmrKCixDmNxWTnFZT6GHJbJ\nJUO64is3/OzZbwN5RWU+ikt9XD48h9+e1ov9RWX0m/DfCtrdProHt47uztb9RQx/eLJLt6Q4D78/\nvReXD89l455CfvnmPBJjPU6nwDr/lwzpyvBubdi6v4h/ztloI6XEBTsNg3Mz6ZRhp05t2F0YSPc/\nSUiMrd3Oov4NlYqd0ep2aXYx4qa9hazake9ymotKfVw2LIekeA//XbqNr5ZtD+xCax3vct67YTjx\nsTE8+uWPvPrtOopCPr/YGGHVQ3bnzd+8t4j3521y2ZKWGMvi8acC8LsPfmDGyl0kxXtIdjTIzkji\niYvtiM8/vlvPpj2FAX2S4z20S0vktL7WMV225QDe8nKSHW3tBl3271B85Yb8Yi8HisvwxAidnE7F\np4u2sK+wlAPFXvKKveQVl3F051ZcPLgrxhhOf2oGec5x+SU2dvzVI3O5/+wjKSr10fu+L131eGKE\nW07qzq2ju7O/qIzrXvs+4OynOY7/yb3bc0xOJoWlXr5bszuQ7n9PjT+E62HKnfUAjWD0zOsrD3xf\nS5zvntdn6NPJ3ne+X7eHTXuLAm2yqMxHakIsV47IBeCZyStZvjUvkF/s9ZHbJoW/OG3nwudmsmjT\nfte9Y0S3Nrx1nV1vMOrPU1i/2/2EcXTvDvz9StthHPTgV+zKd98Xz+3fiSf/bwAAQx/6Gq/PEOsJ\nLqo9d0A2t43uQXm54cLnZwUW4foX9Z52ZEfOP6YzRaU+xn+ytMJi3+O6t2VEt7bkl3j555wN9vjY\n4KLhoztncET7VApKvMxdt8eeO0YCi4O7tE6mdUo8JV4fu/JLiXPyYj1iQ4t6Gn6xr1I3wqMOxTj7\nawDsyi8JRhJyIhilJMSSmRJPeblh5Y5810Jjn/N0MjsjiVJvOXPX7cHnLUNK84hxXl3ataZz934U\nlHhZ+e+niSvZh6csj9jSfCQhhW7j/hIVHepzesyrwFSsYz4ZuAkIjw9UAvxkjNlTOzOVcGbOnMmI\nESOibUZUifPE0C4tgXZpCcycOZP4LKuHP60q2qcn0j696i2IO7ZKpGOrqvOzM5ICI6eV4Xeeq6Jr\nm+rzD2tb/QYm3dpVv3Bu1+rF1baNm048oso8T4zw8c3HVpmflhDL3HtGU1wWdGiLy3wBpy8tMY6H\nzjvKcfrtq6jUF+jQAHRIS6SoLBg7vMRbzulOJ2nz3iKe+mZlhXqfu2wgnTKSmL9+L1e9MrdC/mvX\nDGFUj3Z8s3w793y0hKR4G+Y0Kd5DXl4ez109kiPap/HBvE3c/8lSCku9hIbw/eaOUXRrl8q/F2/j\nj18sr3D+s/plkRSfxLrdBXy7aheJIU51q6Q4vOXlxBNDv84ZjBva1eY5DnNSvAdjDCLCjSd0sx0A\nx+H2O99+Hjn/6Cq1B7h8WE61+X4Hrzr8945WyXZNSShn96s6nr2I8OVtwf0VysuNq/MZ6xFeuXpw\nwNn3vw/MsXOBS73liMDW/cX8tMOf76VdWgLH5GSyaW8R17xacQDk4Z8dxSVDurJ86wFu/eeCCk79\npUO60je7Fdv2FzNz9a6Q/FjSE+Non55Q5eLWmd99V+N91P/Z5RWXsaeg1OU0l5SVc2z3tsR5Ypi3\nfg8LNuwL+W5Yx/uh8/oiIrzy7Vr+s3QbRWXlgQ61CEy70z6Bu+O9RXy8cIur7rap8Xz/B/sE7/np\nayo8wctpkxxw2lfuyOfHbQcCbSo1ITYQfABgTJ+ODMxpHfKUzOO6jz1xUX/mLfyBHr164/XZTZdC\n76N3ndaLghIvZT5DWXk5Xp+hR4fgveisoztR7HQ0/PlZzn203BgS42Io8xkKS714yw2l3vLA4Eip\nt5ypP+0I1FvmM3jLy0lNiGVEt7bsLSjlwc8rfi/vP7sPR7RPZdPeokrvC386/2guGtyFpVsO8LNn\nZ1bIn3TpQM48OotvV+3i2te+d0XviY2J4ZojPfz87FFM+2kn9328BCH4RFmAv14ygL7ZrfjP0m08\n9p8Vtv+HBPqAz44byOHtUvlk0Raen7Y6kO4v8+IVg+iQnsj78zbxxnfrneNtHQK8fPVg0hPjeHvO\nBj5asDkYPNSp57VrhhAfG8NrM9fx1bLtwfOLEBcjvHSVDdP89xlrmLl6t3Nua5wdgMkAACAASURB\nVEFaYmygQ/f8tNUs2LAv5Hhok5LAxHNtmOZJU1YxY/EaMtu0CYTu7NQqkQnn2Pz7P17CT9vzXeE5\ne3RIC9zPbvjH96zZWeAKzzkop3VgMOKsp2eweW+RK2ToKX068JTTIez/wH/ZV+geKLvgmM48dqEN\nIDDsoW/whsVkv3J4DhPO6Uupr5xTn6wY9+TGE7rx29N6kV/iZdzfZ1fIv/PUztzUHfYUlHLudz1c\neV0zk3mkCfhg1Trtxpj1wHoAETkRmFdZ9BilfvD5dFlAKKpHkEOpRUyMVNshSk2I5dKhlWzM5dAl\nMznwQ1IZg3IzWfPQGRR7gyP9RaU+OqTbOvtmt+LFKwYFngD4Owfd2tmOTtvUBEb1aBcYsSwu81FW\nGNwo5LB2KVw0qIvLYU6O99A2xZ7/rH5ZDMxpTXKIU54Ubx0ggOuP78b1x1e9ocZpfTsGRr0r4/Aa\nOlwNQX21j5gYO33GT5wnhhN7tq+yfLu0BN65YbgrzTgjYwBdWifz0Y0jAs683/Ef2LU1YJ9YHNY2\nhbxiu2Psul0F5Jd4OaW3XUuyZPN+fv3uogr1vnntUEYe0ZYvl2zjvo+XuBz+ggN5PNWrkC6ZyXyy\naAtPf7PS9QSqqMzH1N+cQJfMZF6ftZ4//2dFhfPPv/cUMlPimfzjDiZNWQ3Yzm+Ss8vu/Wf3ITHO\nEwg92Copjo7pCU7bCv6sju3Xib6dWpEY8pTJ3+7AOqh3n9GbxLiYwLkTYoNrU/wOTlVcd/zh1eYf\nk9Oawg0xHFfFZ3jhoC7VHn/vWX2qzIv1xPDmtcOqzG+VHMfsu0dXmZ+dkcQP48eEOPW2U9A62UZd\n6pqZzIc3jqDMW47X2eXV6zP0djqxXVon8+j5R9nOgM+WKfWV0yvLDiZ0bJXIZcO62g6Jc2xZeTlJ\nMXaaYqukOPp3yQjcRwy27SbF285gWmIsR7RPtUsh/NtuGbvWCSAl3kNHZ6DIfyzY+Plgy/mnf4ae\nIzTCv/9vgz8Srgk42WU+OxXPBI633xc/ecVeduQVB7a8MNgBGD/bD5Swxlnn5c/vkB50ktftKmDd\nfh+7vPmBvQNCz1/mhMwUZ48ET4wEtAHolJEU3CvAiXneo2NwIOeEHu3ZX1Tm2gSrV1ZwAOL64w+n\n1Fvu2rSrZ8jx/ul7/hjrIgSebMd7Ynh23MCA3f69DXKcwbW0xFjevWG4a4OtGBE6tEoItI1v7hgV\nSI+JsedcsahiJ7GxoXHaK6E5Ro9piqgeQVQLN6qHm+aqR3GZj637i12j/HnFXkb1bEf7tETmb9jL\nO3M2klcSHOXfve8AL197LN07pDHtp528M3cDiXHBaVtJcR6uOfYwMlPi+XHbAZZtORDIS3Qc6yM7\ntSI+NoaCEi8+Y0iK8xDXRBd6N9e2UVdUjyCqhZumED2mVk67iIwBfgn0BMLnGhhjTI37v4pIF+Av\nwCnYjubXwG3GmBoXsopIIjARuAzIABYCd4XHhxeRGOAu4AagI7ACeMAY80FNdUD0nPby8nJiWvpO\nmSGoHkFUCzeqhxvVI4hq4Ub1cKN6BFEt3ERLj9o47RFbJyJnAP8GkoFewI/YiDFdgHKgxo2VRCQZ\nOze+F3AlcDnQHZjibNBUEy8B1wH3AWcBW4H/iEj/sHITgfHAM8DpwHfAe841NFqWL684v68lo3oE\nUS3cqB5uVI8gqoUb1cON6hFEtXDTFPSoTZz2e4FJwO1AGfAHY8x8EekB/Afr0NfEddgQkj2NMasA\nROQHYCV2VLzKoKYi0g+4FLjGGPOKkzYNWAo8AIx10toDvwEeMcY85hw+RUSOAB4BvqjFNTcoe/bo\nWt5QVI8gqoUb1cON6hFEtXCjerhRPYKoFm6agh61eQ7QC/gUO6pucBx+Y8xP2FHteyM4x1jgO7/D\n7hy/FvgWOCeCY8uAd0KO9QL/BE4VEf9KulOBeCBsKy7eAI4SkcNQFEVRFEVRlCZEbZz2csBn7CT4\nnUBoOIktQI3z2YEjgSWVpC8Fql6mHjx2rTGmMCx9KdZJPyKkXAkQvpXZUue9pnqiRt++faNtQqNC\n9QiiWrhRPdyoHkFUCzeqhxvVI4hq4aYp6FEbp30FQcf8e+A2EckSkXbAHcC6CM6RCeytJH0P0Pog\njvXn+9/3mYorbMPLNTry8zWaZiiqRxDVwo3q4Ub1CKJauFE93KgeQVQLN01Bj9rMaX8T8Eejvx8b\n9cW/DaAPO9+8ySIi1wPXA2RnZzNjxgwAcnNzSU1NZckS+4AgMzOT3r178+233wLg8XgYMWIECxcu\nJC8vD4ABAwawc+dONm2y8nTr1o2EhASWLbP7UrVt25bu3bsza9YsAOLj4xk6dCjLli1j3bp1AAwa\nNIjNmzezdetWALp3747H4+HHH38EoEOHDuTk5DBnzhwAEhMTGTx4MHPnzqW4uBiAIUOGsH79erZv\nt5t39OrVC5/Px8qVdqObrKwssrOz8UfKSUlJYeDAgcyePZvSUrtBxvDhw1m5ciW7du0CoE+fPpSU\nlLB6tY1d3LlzZ9q1a8eCBQsAuy1y//79mTlzZiB29MiRI1m+fHlgvljfvn3Jz88PXGvXrl1p3bo1\nixbZeMwZGRkcddRRLFmyhHXr1iEiHHvssSxevJh9+2yM3X79+rF37142bNjQ4J/T/PnzKSgoaNDP\nafPmzQG9Gtvn9L///S+wWU1DfU6rVq0K2NWYPqdofZ9++umnRvk5ReP7VF5eTlFRUaP8nKLxffL5\nfOzevbvRfU7R+j7l5eWxcePGRvc5ReP7VFxcTPv27Rvl5xSN71NpaWlUPqfaUOc47SLSGTgNG03m\na2NM+E6plR2zHfiXMeaGsPRngQuNMe2qOfYdoL8xpmdY+kXYee59jTFLReRR4FYgKXS0XUSGALOB\ns4wxn1dnp8ZpbxyoHkFUCzeqhxvVI4hq4Ub1cKN6BFEt3DSFOO21GWl3YYzZBPy9loctxc45D6cP\nUJPTvxQ4T0SSw+a19wFKCc5hXwokYKfyrAorRwT1MG/evF0isr6mcoeAtsCuKNTbWFE9gqgWblQP\nN6pHENXCjerhRvUIolq4iZYeOZEWbNAdUUXkNuAxoIcxZo2TlosN+fg7Y8zj1Rw7AJgPXGWMec1J\niwUWA6uMMWc7ae2x03b+aIyZEHL810AHY8xRh+DS6gUR+T7S3lZLQPUIolq4UT3cqB5BVAs3qocb\n1SOIauGmKehR7Ui7iPjDO0aCMcbUNHL/InAz8LGI/ME590RgI/B8SL05wGrsLqYPOCdf4EyReVJE\n4oC12N1ZDwPGhRixQ0SeAH4vInlYR/9i4CScWO6KoiiKoiiK0pSoycl+gMid9hoxxhSIyEnAX4B/\nAAJ8A9xmjAldtiuAh4rRba4G/gg8CGQAi4DTjDHzw8rdA+Rj57Z3xEa+ucgY81l9XYuiKIqiKIqi\nNBTVOu3GmPH1XaExZgNwfg1l1mEd9/D0IuDXzqu6431Yx/7BOhsaHV6ItgGNDNUjiGrhRvVwo3oE\nUS3cqB5uVI8gqoWbRq9Hnea0i0gq0AbYYowpq3erFEVRFEVRFEUJUJvNlRCRs0RkPrAfWAMc5aT/\nXUSadJx2RVEURVEURWmsROy0i8i5wMfYcDh34Z6+sha4sn5NUxRFURRFURQFajfSfj/wijFmDPBk\nWN4SoG+9WaUoiqIoiqIoSoDaOO29sTuPQsWIMnuxc9wVRVEURVEURalnauO0H8DuFlUZucDOg7ZG\nURRFURRFUZQK1MZp/wq7YVFGSJoRkQTshkn/rlfLFEVRFEVRFEUBahHyUURygTnYqTFfAFcA7wNH\nA62AQcaYLYfESkVRFEVRFEVpwUQ80u5seDQQ+Aw4BfABxwPfAUPVYVcURVEURVGUQ0OdNldSFEVR\nFEVRFKXhqNXmSlUhIgkicmt9nEtRFEVRFEVRFDe12VyprYhIWFqSiNyB3Vzpifo2TlEURVEURVGU\nGpx2ZwT9KRHJA7YDu0Xkl07eZcAa4M/ARuC0Q22soiiKoiiKorREYmvIvw/4FfA1MB84DHhKRPoA\nNwE/AdcbYz49pFYqiqIoiqIoSgum2oWoIrIK+NIYc3NI2jXA37Fx2882xpQecisVRVEURVEUpQVT\n05z2LsBHYWkfOu9PqMOuKIqiKIqiKIeempz2OCAvLM3//876N0dRFEVRFEVRlHBqmtMOkC0ih4f8\n7wlJ3xda0Bizpt4sUxRFURRFURQFqHlOezlQWQGpLN0Y46mkrKIoiqIoiqIoB0FNI+1XN4gViqIo\niqIoiqJUSbUj7YqiKIqiKIqiRJ+Id0RVFEVRFEVRFCU6qNOuKIqiKIqiKI0cddoVRVEURVEUpZGj\nTruiKIqiKIqiNHLUaVcURVEURVGURo467YqiKIqiKIrSyFGnXVEURVEURVEaOeq0K4qiKIqiKEoj\nR512RVEURVEURWnkqNOuKIqiKIqiKI0cddoVRVEURVEUpZGjTruiKIqiKIqiNHLUaVcURVEURVGU\nRo467YqiKIqiKIrSyFGnXVEURVEURVEaOeq0K4qi1BMicoKIGBEZH21blKaLiKwTkXXRtkNRlMaF\nOu2KokQNEcl1nNzQV6mIbBCR10WkZz3UcZVz3qvqwWScc02tj3MpLRMRedVpR7nRtkVRlKZDbLQN\nUBRFAVYCbzl/pwMjgMuBc0VkqDFmedQsqx1zgN7ArmgbojRpTo62AYqiND4ictpFJAEYDgwDOgFJ\n2B+lFcB0Y8yaQ2ahoigtgZ+MMeNDE0RkEnAj8HvgimgYVVuMMYXAj9G2Q2naGGNWR9sGRVEaH9VO\njxGRI0TkGWAbMBl4EBgHnA7cCrwMrBSROc4jaJ1uoyhKffGq835MZZkicp6IzBCRPBEpEJHvReTa\nsDKvAq84/74SOg0npMwxIjJJRJaKyAHnXPNF5EYRkZByJ4QcNypsSs9VoWUqm9Meib1OucB0HhEZ\nIyIznfK7ReQ1EWkTqYDO+QaIyHsisl1ESkRktYg8LCKpYeUCtovIsSLytYjsF5G9keQ7ZeJE5Lci\nskREikRkr4h8KSKjKrHLP0Wkm4jcKSLLHfuejOCa2ovIMyKy3plOtdXR5rCwcqtFZI+IxFdxnkWO\ntqkhaQmOPYtEpNC5xq+ruIapzjUkishDIrJWRMpE5LZqbF8HXOn8uzakDU0NLSNhc9pD9DpcRO4S\nkVWOxgtF5DSnTCsReU5Etjl5k0WkVxV2RNQuFEVpPFQ50i52lOs6YAHwADAdWGSM8YaU6YAdfT8T\neAK4S0SuMsbMPqRWK4rSkigLTxCR3wKPAjuB14BS4HzgRREZYIy5ySn6LyADOAf4GFhYyfmvA87C\n3uM+B9KAMcAkoAfgd8DWAROA+4H1BDsVVHHeutgbyljsvfVTYCZwPPaJQzfg2OrqC6n3POCfTn3/\nwg7ADAR+B5woIscbY0rDDhsJ3A18AzwPtIskX+ygzUeOzcuAp4FM4GJgsoiMM8b8sxIznwEGY7X/\nFKj2ya2ItAdmA7nAV9hpVT2x06nOFJFjjTH+px1vAX8AznCuP/Q8fYGjgbeNMflOWiLwX+A4YC7w\nApCCbT/fiMhFxpgPKzHrI6Av8CVwANhUzSU8CVwF9AOeAvY56euqu+4Q/oLtyH6K/Q0fB3wsIscC\nz2EH497G6nMu8LmI9DDG+EKuvS7tQlGUaGOMqfSFvQn1ryq/kvIJwC3A9ZEeoy996atlv7COhQE+\nqyTvWSfvmbD0IwAvsBnoGJKeBixxjhkVkn6Vk3ZVFTZ0BWLC0mKxDpgPyAnLM8DUKs51gpM/vh7s\nLQNGhqR7gClO3rAItG2LdSDXAJ3C8u50zvObSmw3wBXVXFtV+X67/wPEhqQfCRRindP0kPRXnfLr\ngc61aDP+4+4LS7/GSZ8SktbTSXu/kvM87OSdUUna78LKtsM61TuBpJD0qU75eUBGHa4ht4r8dcC6\nKo5ZDrQJST/fSd+LddY9IXlPO3kX1LVd6Etf+mo8ryqnsxhjzjPGVDt6FFa+xBjzV2PMC5EeoyiK\n4tDDmXYxXkQeF5HvgF9iF6g+GFZ2HNaBfcwYs82faIzJA8Y7/15JhBhjNhhjysPSvNhR1hjgxNpe\nTD3Z+5Yx5tuQ8j7sKD3YkemauALbMfidMWZLWN7jWAf0/yo5bp4x5vVqzltVvv8afmdCnsgaY5Zi\np1K2wo78hvNnY0x1I9MBxK6vuhjYAfwpLPsVbCfoBBHp6tS9AutQnyUirULOI8ClWA3+66TFAL8A\nlhljHgk9sTFmJ/AY1uGtbJHo/caYfZWkHwoeMsbsDvn/I+yIeQbwWxMyog6847wfFZJW13ahKEqU\n0egxiqI0Brpjp52Esgo41hizIyy9n/M+rZLzTA0rUyOOI3gL1hnsCYTP6c2K9FxVUFd751WS5ndu\nMyKod6jzPlJE+lSSXwZUNt/5+xrOW1V+PyDPGLOgkrypwE1Ufp011RdKTyAR+MoYUxyaYYwxIjIN\nO02lH7DByXoDO6XkfGznAez0oq7Ypzj+DkZPrK4bpPI4+92d917AZwdxDQfLotB/jDHlIrIDSDHG\nbAwr6+8kdgpJq2u7UBQlykQaPeb4arLLgf3Aj8aYCnNPFUVRIuBzY8xZEFgr8wvsKPT7InJS6Mgt\nNiQkwPbwkxhjdomIN6RMJHyInfP8I3YO9E7sdJZc7OhxQq2upCJ1tfdAJWl+HTwR1JvpvN8SQdlQ\nKtgZYX46sLaKvG0hZWpbX3gd1R1TWT1vY0fJLyPotI9z3t8IKefX62jnVRUplaTV5hoOlsraha+K\ndH97iQtJq2u7UBQlykQ60j4VO8+tOgpF5K/GmHsOziRFUVoyxpjtwAQR6Yh13n+FHSn143dOOmDn\niQcQG1kllsodmAqIyGCsw/4lcGboNBkRuZhaTLOphnqzt4719jbBhZmRUNO9vqr8A0D7KvI6hNlU\nm/rC6wg9X431GGO2i8g3wGgRycZOrbkQWGXcQRP8x7xjjKnV9BBjTG2uIdrUtV0oihJlIg3ReA6w\nEftI8CpsyMergC+wj2uvxs61/K2I/KberVQUpSVyL5AP3CMiaSHp/rU2lT0BHBVWBuwoJFQ+Ot3N\nef88fF47NkpKZZRXca6qqK299cUc533YITh3ZSwE0kWkfyV59XWdK4BiYIgzrSkcv8aLwtLfwP7e\nXYr9/coE3gwrsxzIAwaJSG0+37pQXZs81DR0u1AUpZ6I1Gk/F/jSGHOOMeYfxpj/Ou9nY0eoTjTG\n3Az8Dfj5oTJWUZSWgzFmFzbsYhvcj/Lfwjo9v3HC/wHgxJce7/wbulByj/PepZJq/POeXQ66iAwD\nrq/CtD1A55qvoM721hevYDs9D4tIz/BMJ6b3gHqsz38ND4c6vSLSG7gWO43y44OpwBhTgl1c2QG4\nIzRPRK7ETmuZaozZEHboR9gINuOofGqMf/Hxc9iO3MOVOe4iMlREkg/mGhyqa5OHmoZuF4qi1BOR\nTo85D7tIqzLeJ7hC/Uuq/qFTFEWpLY8DNwN3iMjTxpgDxphVInI3Nu75DyLyHnbx3HnYeejPGmNC\nF33OAoqA20SkNXbOOsaYB7Hxvr8H/s+ZjjMXOBwbI/0T7OLFcCYDF4nIv7D7WPiAT4wxP1R2AXWw\nt14wxuwQkXHY+/NiEfkCG40nBTgMG8LxNewUpPrgdeACbJz2hU59rbGRSBKAa4wx9TEN6LfYkfs/\nOuut5mMXkZ4H7MZGHXJhjMkXkY+BS4A+wBxjzKpKzn0fMAgb+nCsiMwg2Ek7xqknC9sBOBgmA78B\nXhCRD4ACYL0x5h8Hed4aiUK7UBSlnoh0pN1D8DFyOEcQfMRX4rwURVEOGifU3t+wzt/tIel/wjrU\nq7DT836Bda6uN2EbFRlj9mCdyZ+wGylNdF7+MIpnYZ2UntgOwmHY6X/PVGHWrcC72NH5+5xzDazh\nOiK2tz4xxnyCdTbfct5vBS7CjlQ/hd3op77qKsc6zr/D/rb465oFnGQq31ipLvXswEZAmYR1wH+D\n/SzeAAZXM0/bP7IeR9goe8i5i7Eba92MjSt/MfYpz3DsQuUrgV31cA3/xnY+wD4xmEgDPqVuyHah\nKEr9IZGsnxGRt4FTsT94/zLG+JxHh+dhYxl/aYy5VERuwW5gUu0PmKIoiqIoiqIokROp094WOydw\nJDaE1F7syFcs8C1wrjFmtzOnsMAY8/6hM1lRFEVRFEVRWhYROe2BwiJjsCvOOwJbge+MMV8dItsU\nRVEURVEURaGWTruiKIqiKIqiKA1PpAtREctYEXlMRF4RkRwnfZSIdKrpeEVRFEVRFEVR6kakc9pb\nYzdSGordfCIVu0p/voi8AewxxjSbLZHbtm1rcnNzG7ze0tJS4uPjG7zexorqEUS1cKN6uFE9gqgW\nblQPN6pHENXCTbT0mDdv3i5jTLtIykYap/3P2E0gRmLjGJeG5H2NjWnbbMjNzeX777+PthmKoiiK\noihKM0ZE1kdaNtLpMecA9xhjZgHhQ/MbiM6ubs2OhQsPxU7mTRfVI4hq4Ub1cKN6BFEt3KgeblSP\nIKqFm6agR6ROeyqwuYq8REDqx5yWTV5eXrRNaFSoHkFUCzeqhxvVI4hq4Ub1cKN6BFEt3DQFPSJ1\n2ldgd4mrjFHA4voxR1EURVEURVGUcCJdiHo9dkvvCdhtj1cDo4EcJ/16Y8ybh9DOBmXQoEEmGnPa\n8/PzSU1NbfB6GyuqRxDVwo3q4Ub1CKJauFE93KgeQVQLN9HSQ0TmGWMGRVI2opF2Y8wLwBNYp32V\nk/wV8ALwZHNy2KPJzp07o21Co0L1CKJauFE93KgeQVQLN6qHG9UjiGrhpinoEXGcdmPM74BuwA3A\nH4AbgZ7GmHtqU6GIdBGR90Vkv4gcEJEPRaRrhMcmisifRWSriBSJyCwROb6Scm1E5CkRWeOUWysi\nz4hIRCF1osWmTZuibUKjQvUIolqE4Ctjy/pVNZdrQWj7CKJauFE93KgeQVQLN01Bj0hDPgJgjFkP\n/L2ulYlIMjAZKAGuxEaieRCYIiJHG2MKajjFS8CZ2BCTa4CbgP+IyHBjzEKnDgE+AXoA9wHLgT7A\nA8Agp6xuA6soTZW3L2HEqq9hSXfI6gdZ/Z33oyGxVbStU1oYBw4cYMeOHZSVlUXblEpJTU1l+fLl\n0Taj0aB6BFEt3NS3HnFxcbRv35709PR6O2eVTnuko99+jDEbIih2HXA4doR+lVPPD8BK7Aj+E9XY\n0w+4FLjGGPOKkzYNWIp1yMc6RbsDI4BfGGOed9Kmikg58DesM7+iNtfWUHTr1i3aJjQqVI8gqoXD\n2umw6iuKc0eTlBAP676Fxe8F8zO7WQe+U/+gM5+UET17GwhtH0EaUosDBw6wfft2srOzSUpKwo4Z\nNS50Ax03qkcQ1cJNfephjKGoqIjNm23gxfpy3KsbaV9HxZjs1eGJoMxY4Du/ww5gjFkrIt9iY8FX\n6bQ7x5YB74Qc6xWRfwK/E5EEY0wJ4Fd8X9jx/v8jnhLU0CQkJETbhEaF6hFEtQCMgW8mQloWhaf/\nlaQO2TY9fwdsXQRbFsLWhbBpLiz9MHhc69ygA+935pMzo3IJhwptH0EaUosdO3aQnZ1NcnJyg9VZ\nW2JiGu1PXlRQPYKoFm7qUw8RITk5mezsbLZs2dIgTvs1BJ32BOw89gPAu8B2oCNwEZAGTIywviOB\njytJXwpcGMGxa40xhZUcGw8c4fy9FJgO3Csiq4EfsdNj7gP+bYxptM+Cli1bxnHHHRdtMxoNqkcQ\n1QJY+V/YNAfOfIJlP63hOL/Tntoeup9iX34KdllHfutC68xvWQDL/hXMb9UVOvmn1vS3znxK24a9\nnnpE20eQhtSirKyMpKSkBqmrrhQVFZGWlhZtMxoNqkcQ1cLNodAjKSmpXqfOVem0G2Ne9f8tIk8C\n84HzQueDi8gDwL+wTnEkZAJ7K0nfA7Q+iGP9+RhjjIicAfwDmBtS7nNq7hgoitIYKS+HyRMhIwcG\nXA6zZldfPqUtHHGyffkp3APbfgiOyG9dBMs/Deand644tSatw6G5HqXZ0BinxCiK0jio7/tDpAtR\nLwGuCl/A6TjIzwGvArfXq2UHx4vAMOAX2IWovbHhKt8XkbONMeXhBzix6K8HyM7OZsaMGQDk5uaS\nmprKkiVLAMjMzKR37958++23AHg8HkaMGMHChQsDu2kNGDCAnTt3BlYid+vWjYSEBJYtWwZA27Zt\n6d69O7NmzQIgPj6eoUOH4vP5AvUOGjSIzZs3s3XrVgC6d++Ox+Phxx9/BKBDhw7k5OQwZ84cABIT\nExk8eDBz586luLgYgCFDhrB+/Xq2b98OQK9evfD5fKxcuRKArKwssrOz8cekT0lJYeDAgcyePZvS\n0lIAhg8fzsqVK9m1axcAffr0oaSkhNWrVwPQuXNn2rVrx4IFCwBIS0ujf//+zJw5E5/PB8DIkSNZ\nvnw5e/bY/lXfvn3Jz89n3bp1AHTt2pXWrVuzaNEiADIyMjjqqKMoLi5mxowZiAjHHnssixcvZt8+\nO8upX79+7N27lw0bNjT45zR//nwKCgoa9HPKyMgItI3G9jn973//wxhzSD+ngrlv0mHbYlb0uZ20\nHbtISUkJ6BHx57RlD1u3eoBj6H7c/+HxeFi5+HtS89aQxXYySzZSsm42ySs+x09pQhvy0rqRn9aN\nTsecwUZvJpsPlINIo/o+xcfHB/SI5ufUGL5PrVu35qeffmqQ+15xcTF5eXl4PB6Sk5PJz8/H/zOZ\nmppKcXExXq8XsCNu5eXllJSUBK4/NjaWwsLCgKbJycmuXRnT0tIoLCwMfPbJycl4vd6AnQkJCcTE\nxFBUVARAbGwsiYmJ5OfnA9Zh8NdxMOdITU2loKCA8vLygGalpaWBEcTExESAwGcQFxdHfHx84HON\niYkhJSWlXs5xsBrHxsY2ys8pNTW1wT8nEaG8vLxRfk7R+D6JCF6vt94/KhVCLgAAIABJREFUJ2NM\n4P5c2X2vNkS6uVIB8EtjzOuV5F0JTDLG1BiRXkS2A/8yxtwQlv4scKExpsqQjCLyDtDfGNMzLP0i\n7Dz3vsaYpSJyJvAZMNoY801IuVOA/wLnGmMqm6ITIFqbK3m9XmJjaxXQp1mjegRp0VqU++DZYYDA\njbMgxnNo9Sg+ANsWB0fjtyyEXT8RmC2Y0t4Zje8XnFqTng1RHHFt0e0jjIbUYvny5fTu3btB6qor\n/o6aYlE9gqgWbg6VHjXdJ+p9cyVgKvCQiAwOq2gI8EcnPxKWYuemh9MHWBbBsYc5YSPDjy0luOnT\nUc57uNc9x3lvtHdY/wiUYlE9grRoLX54xzrNJ90DMXa9+yHVIzEdckfC8JvgZy/AzXPg95vgmv/A\naY/aKTf7N8GMx+GdcfCXI+HPR8A/fgbfPADLPoa96+3C2QaiRbePMFQLN/5Rwkh49dVXEREyMjLY\nu9c9G9Xr9SIijB8/vp4trDsFBQVcfvnltG/fHhHhtttuY+rUqYgIU6dOrfSY2ujRVBg/fjyTJ0+u\n9XHNUYuDoSnoEelwxM3A18B3IrIRuxC1A9AFWOvkR8InwGMicrgxZg2AiOQCI4Hf1XDsp9gpLhcC\nrznHxgIXA/91IscAbHPeBwHfhBw/1HnfHKGtiqJEG28pTH3Yjmr3Hltz+UNFQip0HWZffkoLYfsS\nd+Sa/z0Jxj42Jam1ezQ+qx+0PiyqI/KKEgn79+/n0Ucf5ZFHHom2KdUyadIk3n77bV5++WV69OhB\nVlYWrVu3ZtasWfTpE+lSu6bPhAkTuOeeezjppJOibYpyiInIaXfCMvYCrsLOFc8ClgCzgNeMMZEu\njX0R6+B/LCJ/wD5vnghsBPwx1RGRHGA18IAx5gHHhgXOFJknRSQO21n4JXAYMC6kjg+xo///EJGJ\n2OgxvYD7nXo+itDWBkfjpbpRPYK0WC0WvA77NsCZT7ic3UahR3wydBliX37KimH7UmdqjRO5ZtYk\nKHdukYmtHEfe78wPsI78QYYaaxR6NBJUCzd1edw/ZswYnn76aW6//XY6dGi4xdglJSW1Ctm5fPly\nOnXqxBVXXOFKHzZsWBVH6MLhUFQLN01CD2NMg76ArsAH2PCRedjoM7lhZXKxDv34sPQkbCz3bUAx\nMBs4oZI6umB3T13rlFuL7TBkR2LjMcccYxRFiTKlhcY81tOYv48xprw82tbUnbJiYzbPN2buy8Z8\ncqsxz48y5oG2xtyfbl8PdTbm5TOM+fJuYxa9Y8yOFcb4vNG2WomAZcuWRduEeuWVV14xgJk+fbpJ\nTk42N998cyCvrKzMAOb+++93HTN79mxz8sknm5SUFJOcnGxOOukkM3v27Brruv/++w1gFi9ebMaM\nGWNSUlLM2LFjA/kffPCBGTp0qElKSjKtWrUyF1xwgVm/fn0g3/ERXK8pU6aYKVOmBP72M2rUKDNy\n5Ejz1VdfmQEDBpikpCRz5JFHmg8//LCCXQsXLjRnn322ycjIMImJiWbEiBFm+vTprjJXXnmlyc7O\nNnPnzjXDhw83iYmJpkePHuazzz4zxhjz+OOPm5ycHJOWlmbGjh1rduzY4Tq+rKzMPPTQQ6Znz54m\nPj7eZGVlmV//+temqKgoUGbt2rUGMM8995y59957TceOHU2rVq3MWWedZTZu3FitDuGfkRJdarpP\nAN+bCH3oBo+sb4zZYIw53xiTboxJM8aca4xZF1ZmnTFGjDHjw9KLjDG/NsZ0NMYkGmOGGmOmVlLH\nRmPMz40xhznlDjPGXGeMadRTY+bPnx9tExoVqkeQFqnF3L9D3lY4+d4KU0qalB6xCXZEfdDVcPaT\ncP1U+P1muGEGjH0ajroQvMX2ej+8DiYNhke6wsunwb9/Bwvfhh3L7YLcKmhSehxiVAs3dYlQkZWV\nxc0338wLL7zA+vXrqyz3ww8/MGrUKPbu3curr77K66+/zoEDBxg1alQgelFNnHPOOYwaNYpPPvmE\n22+3Qeiee+45zj//fPr06cP777/P888/z5IlSxg1alQgGsisWbM49dRT6dixI7NmzWLWrFkMHDiw\nynpWr17Nrbfeyk033cSHH35IVlYWF154IatWBfZ6ZP78+YwYMYI9e/bw4osv8sEHH9CmTRtGjx7N\nvHnzXOc7cOAAV1xxBddeey0fffQR7du35/zzz+eOO+5gypQpTJo0iSeffJIpU6Zw0003uY697LLL\nePDBB7n00kv5/PPP+f3vf89LL73EuHHjCOfhhx9m1apVvPzyyzz11FPMmjWLyy67LJDvX8Nx1VVX\nBXS49tprI9K+Lm2jOdMU9KhyeoyILMTOIf+X0xOoFhHpDPwW2GSM+VP9mdhyaAoNpiFRPYK0OC1K\n8uB/f4HDT4TcYytkN3k9YuMh62j7Gug82veVwc4V7k2h5r0KXhs6jLhk6NDXHUe+XS/wxDZ9PeqR\naGsx4dOlLNtyIKo29OmUzv1n25gP/tB9teWuu+7i+eefZ8KECbz88suVlnnggQdISEjgm2++ISMj\nA4BTTjmF3NxcJkyYwIcffljpcaHccsst3HrrrYH/8/Pzueuuu7j66qtd9Q4ZMoSePXvy0ksvcdtt\ntzFs2DDatm1LQkJCtdNh/OzatYvp06fTsWNH0tLSGDhwIFlZWbz77rvcfffdANx555107dqVyZMn\nB6ZZnXrqqfTt25eJEyfyr38FN2jLy8vjueee4/jjjwegU6dO9OvXj88++4xly5bh8dhF80uWLOHp\np5/G5/Ph8XiYMWMG77zzDq+99lpgWs/o0aPJzMzksssuY+HChfTv3z9QT25uLm+99Vbg/507d3Ln\nnXeyZcsWOnXqFLj27OzsiHQIpa5to7nSFPSobqT9deyUkk0i8hcR+ZmIdBORdBFJEJGOIjJCRG4T\nkW+AdUBP7HQXRVGUuvPd36BwN5x0b7QtaTg8cdCxLwwYB2f8Ga79Cu7eDDd+B+c+BwOvtNFzFrwJ\nH98Iz42Eh7Ph76eQnLc22tYrzYzMzEzuuOMOXn/9dVasWFFpmenTp3PWWWcFHHaA9PR0xo4dy7Rp\n0yKq57zzznP9P2vWLA4cOMC4cePwer2BV5cuXejVqxfTp0+v0/V0796d7t27B/5v37497du3D+xN\nUFRUxLRp07jwwguJiYkJ1GuMYfTo0RXqTUlJCTjsYPcDAOuA+x12f7rX6w3sPfDll18SHx/PBRdc\n4Lq+MWPGAFSo54wzznD9f9RRNkCe326lZVHdjqhPiMhLwLXAz4FbCQQqDiBACfAxcLIxJrJvqVIp\ngwZFFKazxaB6BGlRWhTugZlPQ88zofMxlRZpMXrEeKB9b/vqf4lNK/fB7tXBOPIL36R/7AfAFdWe\nqqUQ7bbhH+FuLKSkpNT52Ntvv52nn36a++67jzfffLNC/p49e8jKyqqQ3rFjxwohI6si/PgdO3YA\n1vmtjNata9o8vXIyMzMBtx4JCQmBTYL27NmDz+dj4sSJTJw4sdJzlJeXE+MsGg/tqEBwAXS4ff50\nfz07duygtLS0ys9l9+7dldodanPo+Q6Gg2kbzZGmoEe10WOMMfuBx4HHRaQrNnJMJyAR2I2NzDLH\nBMMtKgfB5s2bOeKII6JtRqNB9QjSorT49ik7Peake6os0qL0CCfGA+162NfRF0FyGzzfTLAbQnU8\nqubjmzktum1UQmlpaWAXy9qSmprK73//e+644w7uvPPOCvmZmZls27atQvq2bdsidq7DI3a0adMG\nsDHjjzyyYgcoLS0tovNWRVV6ZGRkEBMTw0033VQhGo2fmIOM8gT2+hITEwM7ZIbTqVOng64jUg6m\nbTRHmoIeEW8bZ4zZAOjzmEPI1q1b9ccmBNUjSIvRIm87zH4e+p4PHaoesWwxekTCoGvwTv0TsTOf\ntptBtXC0bbgpKys7KEfkxhtv5IknnuAPf/hDhbxRo0bxxRdfkJeXF3Cm8/Ly+PTTTznhhBPqVN+I\nESNIS0tj1apVXHnllXW2uyqq0iMlJYXjjjuORYsWMXDgwHpx0CvjtNNO49FHH2X//v2cfPLJ9XLO\n+Ph4ioqKan3cwbaN5kZT0EP3vVYUpfEw43HwlcKJd0fbkqZDUgbbOo2h8+L37RqAjC7RtkhpRiQk\nJHDfffdx/fXXV8i79957+eyzzzj55JO56667EBEeffRRCgsLue++++pUX3p6On/+85+56aab2Llz\nJ6effjqtWrVi8+bNTJs2jRNOOIFLL730YC+rUp544gmOP/54Tj31VH7+85+TlZXFrl27mD9/Pj6f\nr142mzrhhBO45JJLuOCCC/j1r3/NkCFDiImJYd26dXzxxRc8+uij9OjRo1bn7NOnD59//jmnnXYa\nrVu3plOnTg06Yq80HA0e8lGpmtBFMorqEUqL0GLfRpj3il2I2aZbtUVbhB61IP742+wf3/0tuoY0\nArRtuKmPkcOrr766Ul2PPvpopk6dSnp6OldeeSWXX345qampTJs2jX79+tW5vhtuuIFPPvmEFStW\ncPnll3PGGWcwfvx4vF6vK7JKXahOj4EDBzJ37lzatGnDLbfcwpgxY7j11ltZvHixa9HpwfLGG28w\nfvx43n//fc455xwuuOACnnnmGbp3716nzayeeeYZUlJSOPvssxk8eDAvvBDZE7fGPqrc0DQFPSSC\naI4tjkGDBpnvv/++wevduXMn7dq1a/B6GyuqR5AWocXHN8MP78Cv5tc4Wtwi9KgFO3fupN30u2HF\nF3D7UkjKqPmgZkpDto3ly5fTu3fvBqmrrpSVlREXFxdtMxoNqkcQ1cLNodKjpvuEiMwzxkS0gl5H\n2hsRP/74Y7RNaFSoHkGavRa7V8PCt2DQNRFN72j2etSSH3/8EUbeAqX58H3lMbVbCto23NRHlJHm\nhOoRRLVw0xT0UKddUZToM+Uhu3PocXdE25KmS8ej7GZUs58Drwb0UhRFaW7U6LSLSLyI7BGRsQ1h\nUEumLnPZmjOqR5BmrcX2pbDkAxh6A6S2j+iQZq1HHQjoMfIWyN8OP7wbXYOiiLYNNzr9wY3qEUS1\ncNMU9KjRaTfGlAJeoPE/N2ji5OTkRNuERoXqEaRZazH5j5CQBiNuifiQZq1HHQjocfiJdsR95tPQ\nBLbkPhRo23Dj39xHsageQVQLN01Bj0inx/wLuOBQGqLAnDlzom1Co0L1CNJstdg0D1Z8DiN+BcmZ\nNZd3aLZ61JGAHiK287NrBaz8b3SNihLaNtwUFBRE24RGheoRRLVw0xT0iNRp/zdwuoi8LyKXicjJ\nInJS6OtQGqkoSjNl8kRIbgPDfhltS5oPR54H6Z1h5l+jbYmiKIpSj0S6udIHzvvPnJcfA4jz7qlH\nu1okTSFGaEOiegRpllqsnQFrpsCYB+30mFrQLPU4CFx6eOJg+I3wn7vtk4zOx0TPsCigbcPNodrZ\ns6miegRRLdw0BT0iitMuIqNqKmOMmVYvFjUCohWnXVFaDMbAy6fCvg1wywKIS4q2Rc2Lkjx44kjo\ndgJc9Hq0rWm2NIU47YqiRJcGj9NujJlW0ytC25VqmDt3brRNaFSoHkGanRYrv4KNs+H439TJYW92\nehwkFfRISIPB18DyT2HPmugYFSW0bbhpCvN0GxLVI4hq4aYp6FGrZwEikikiZ4rI5c575CvHlBpp\nCoH9GxLVI0iz0qK83M5lz+gKA66o0ymalR71QKV6DP0FxMTCrEkNb1AU0bbhpryFRhGqCtUjiGrh\npinoEbHTLiIPApuBT4DXgE+BzSIy8RDZpihKc2T5J7DtBzjhboht/CG2mixpHeHoi2HBm1CwO9rW\nKI2ct99+GxFh+vTprvTt27cjIpXGv580aRIiwpIlSwC46qqryM3NDeSvW7eO8ePHs2ZNxac9ubm5\nXHbZZfV7EbWgoKCAyy+/nPbt2yMi3HbbbUydOhURYerUqVGzq6EZP348kydPjrYZSoRE5LSLyG3A\n3cAbwElAb+BE5/+7RSTyAMtKlQwZMiTaJjQqVI8gzUaLcp/d/bRtTzj6ojqfptnoUU9UqceIX4G3\nCOa+2LAGRRFtG25SUlIiKnf88ccDVHDap0+fTnJyMjt27ODHH3+skNemTRuOPPJIAO69914++uij\nQP66deuYMGFCpU57tPDrMWnSJN5++20ee+wxZs2axe23387AgQOZNWsWAwcOjLKVDUNKSgoTJkxQ\np90h0u9KNIl0pP0XwFPGmOucOewrnPfrgL8CNx46E1sO69evj7YJjQrVI0iz0eKHd20M8RPvhpi6\nB5xqNnrUE1Xq0a4n9Dgd5rwApYUNa1SU0LbhprS0NKJy2dnZdOvWrVKn/aSTTqo0b8aMGRx77LGI\nCADdunVjwIAB9WN4LSkpKYmonF+P5cuX06lTJ6644gqGDRtGTk4O6enpDBs2jPT09ENpaqMh0rbR\nUmgKekTqtOcCn1eR97mTrxwk27dvj7YJjQrVI0iz0MJbClMfho5HQ++xB3WqZqFHPVKtHiNvgcLd\nsOithjMoimjbcFNWVhZx2eOPP55Zs2bh9XoDadOnT+e4447j2GOPdTntK1euZOvWrYwaFQwuFzo9\nZurUqZx44okAnHLKKcj/s3fucVVV6f9/L67CQUIwEkSlDMVbKqkByiUlMcdwGrUpNbXJyd9keZ3G\ncial0UbNMk1ttEazb1rplDVeGmssFVJUlDRv5SXxfg0vgCiC6/fH5pzD5iIHOFdZ79frvODstfZa\nz/nsdWDttZ/1PEJU6Hry6aef0qpVKwwGA506deL777+v0s7U1FSTW05ycjJ+fn488YT5yd3KlSuJ\njo7G19eXgIAABgwYwPHjx016CCFYsmQJJ06c0NlVkXtMYmIi3bp1Y/369URFReHr60vbtm11TxSM\n7N69m5SUFBo0aICPjw9du3YlPT1dV2fYsGGEhYWxY8cOYmNj8fHxoWXLlqxdq02xZs2aRXh4OP7+\n/vTt25cLFy7ozi8qKmLatGlERkbi7e1NaGgo48eP1+3lyM7ORgjBwoULmTRpEiEhIQQEBPDYY49x\n8uRJUz0fHy0IwOuvv27SITU1tUr971Sq811xFJZO2n8F2lZS1qakXKFQKCrnh4/g8jHo/iq4QDzc\nO4amMdC4E2yZp7knKRSVEB8fT15eHllZWQBcvnyZvXv3EhcXR1xcnG4CapzAG91qyhIVFcX8+dom\n6HfeeYeMjIxyrifp6em89dZbTJkyheXLl1NcXEyfPn24fPmyRfb27duXhIQEVq1axdixYwFYsGAB\n/fr1o3Xr1nz22WcsXLiQvXv3kpCQQG5uLgAZGRkkJyfTqFGjCu0qy5EjRxg9ejTjxo1j5cqVhISE\nMGDAAA4fPmyqk5WVRWxsLDk5Obz//vt8/vnnBAUFkZSUxM6dO3XtXb16lSFDhjB8+HC++OILgoOD\n6devH+PHj2fDhg3Mnz+f2bNns2HDBkaOHKk7d/DgwUydOpWBAweydu1aXnnlFRYtWsSgQYPK2T1t\n2jQOHz7M4sWLmTNnDhkZGbp9BOvXrwe0GwmjDsOHD7dIe4VjsDS50hfAFCHEr8AnUsoiIYQHMAD4\nO9rGVEUtiYyMdLQJToXSw4zLa3GzANJmQpOHIOKRWjfn8npYmdvqIYS22r5iiBYCss1v7WeYA3D4\n2Pjvy3B2j2NtaNQOHp0OVC/ZlHHVPC0tjS5dupCeno63tzcPPvggQUFBHD9+nOzsbMLDw0lLS8Pf\n358OHTpU2Ja/vz+tW7cGoFWrVkRHR5erc/XqVXbt2kWDBg00sxs1onPnznz11VcMHDiwSntHjRrF\n6NGjTe/z8vKYMGECzzzzDIsXLzYd79KlCy1btmTRokWMHDmS6OhoGjZsiLe3d4V2leXixYukpaUR\nEREBaDckISEhrFixgokTJwLw0ksv0bRpU7777ju8vLQN9snJybRt25YpU6bw5ZdfmtrLzc1lwYIF\nphue0NBQ2rdvz5o1a9i/fz/u7prr4N69e5k7dy7FxcW4u7uTnp7O8uXL+fDDDxkyRIu8lZSURGBg\nIIMHD2bXrl266xEeHs7HH5ufsF24cIGXXnqJ06dPExoaauq/cePGFulwp+MKidksXe56BdiFNjkv\nEEKcAwqAZcButE2qilpSXKxWwUqj9DDj8lpkLoLcM9oqe4n/a21weT2sTJV6RPaBwPtgyztaYqs7\nGDU2as69995LWFiYaRU9LS2Nhx56CC8vL1q0aEFwcLCurGvXrqYJZk2IiYkxTdgB2rVrB2ByZamK\nxx9/XPc+IyODq1evMmjQIIqKikyvJk2aEBkZWc4n31IiIiJME3aA4OBggoODTXYWFBSwadMmBgwY\ngJubm6lfKSVJSUnl+jUYDLonFMYbzaSkJJ2ekZGRFBUVcebMGQDWrVuHl5cX/fv3132+nj17AuU3\nEffu3Vv3vrr6KpwPi1bapZS5Qoh44DdAHBAI5ACbgP9KS9KqKqrk0KFDNGrUyNFmOA1KDzMurcWN\nXPh+FtyXCPfGWaVJl9bDBlSph5s7xIyEtePh2BYI72o/4+yMw8dGyQq3s3D9+nU8PT0trh8fH89/\n//tfpJSkpaWRnJxsKjP6tXfv3p3s7GxGjBhRK9sCA/WpXry9vU02W0JISIju/fnz5wFt8lsRDRo0\nqLYeFdkJmq1GO3NyciguLmbKlClMmVJxFOxbt27hVuIWGBAQoCszrsyXvoEpfdzYz/nz5yksLKw0\nysmvv+o9lavSV+U00FOTsWFvqpy0CyG8gD8B30op1wBrbG6VQqG4c9i6QNsI2X2Soy2p23QYpIXb\n3PLOHT1pV9SOhIQEPv74Y7Zu3UpWVhZTp041lcXFxfHuu++yaZOWBL0yf3Z7Ico8tQsKCgJgyZIl\npjCUpalfv75N7AgICMDNzY2RI0ea3FbK4maFfTxBQUHUq1ev3OZWI6GhobXuQ+HcVDlpl1IWCiGm\nA8lV1VXUjrKrBnUdpYcZl9XiWg5smQste0PYg1Zr1mX1sBEW6eHpA12e0yL4nP8Jgu/MfQFqbOip\n7sqhcSI+ffp0pJTExMSYyrp168bYsWNZsWIFvr6+dO7c+bZtGVd2CwoKqml1zYiNjaV+/focPnyY\noUOHVljHFqvLBoOBuLg4du/eTVRUlFUm6BXRq1cvZsyYwZUrV+jRo0et2/P09MTLy8tu18fZcfZV\ndrB8I+oB4D6gZg5hCoto3Lixo01wKpQeZlxWiy3vwI2r8PBfrdqsy+phIyzWo/Mf4fvZkDEX+s63\nrVEOQo0NPUYXC0uJjIwkODiY1atX8+CDD+Ln52cq69ixI35+fqxevZqHH364yklOixYt8PDwYPHi\nxQQGBuLt7U3Lli1ttuLt7+/PzJkzGTlyJBcuXODRRx/lrrvu4tSpU2zatInExESefPJJm/Q9a9Ys\n4uPjSU5O5tlnnyUkJISLFy+SlZVFcXEx06fX3m0qMTGRp556iv79+zNu3Di6dOmCm5sb2dnZfPXV\nV8yYMYMWLVpY3J6XlxetW7dm7dq19OrViwYNGhAaGlpnV+yr+11xBJbeDk4CXhVCtLOlMXWdHTt2\nONoEp0LpYcYltcg9B9sWQtt+0KiyiLE1wyX1sCEW62EIgo6DtCRXuWdta5SDUGNDT35+frXPiY+P\nR0pJXJx+D4q7uzsxMTFIKS1yjQkKCmLevHns3r2bhIQEOnfuXC78obUZMWIEq1at4ueff+bpp5+m\nd+/epKamUlRURIcOHWqkhyVERUWRmZlJUFAQo0aNomfPnowePZo9e/ZY1Y1o6dKlpKam8tlnn9G3\nb1/69+/PvHnziIiI4J577qlWW/n5+cybNw+DwcBjjz1G586dee+996xmq6thq7FhTYQle0iFEOlA\nCyAIyAbOAKVPlFLKhApOdUk6deokHfGHPz09vdwfybqM0sOMS2rx3wmw/X14IROCmlu1aZfUw4ZU\nS4+cX2Dug9B1NCSl2tIsh2DPsXHgwAFatWpll75qSm5urs1Wtl0RpYcZpYUeW+lR1d8JIcROKWUn\nS9qydKW9GNgPpAMngKKSY8bXLQvbUdyGynaE11WUHmZcTovLJ2DHYugw0OoTdnBBPWxMtfQIvA9a\nPQaZi7XIPncYamzosZV/taui9DCjtNDjCnpYtNJe13DUSrtCccew6kXY/Sm8mAUBTRxtjaIsJ3fC\nv7pD8j+0UJCKGuEKK+0KhcKx2HWlXQjhJYT4oiROe60RQjQRQnwmhLgihLgqhFgphGhq4bn1hBAz\nhRBnhBAFQoiMyuwSQjQWQiwWQpwVQtwQQhwVQkyzxmewFdu2bXO0CU6F0sOMS2nx6xH4YRk8+IzN\nJuwupYcdqLYeYQ9Cs66Q8S4U37SNUQ5CjQ09eXl5jjbBqVB6mFFa6HEFPaqctEspC4EkS+pWhRDC\nF/gOiASGAk8DEcAGIYQlzzQXAX9E2xjbB823/mshhC6PshAiHNiO5oc/CugJpKK59TgthYWFjjbB\nqVB6mHEpLTZOA3cviBtvsy5cSg87UCM9uo6Gqydh3xfWN8iBqLGhRz1N16P0MKO00OMKelga8nEz\nEA1srGV/f0QLHdlSSnkYQAjxI3AIGAHMquxEIUR7YCDwBynlByXHNgH7gL8DKaWqLwBOAQ9LKY3L\nSJtqabtCoaiKc/thz2fahLB+9SIZKOzM/Y/A3ZGw+R1oNwDKJKpRKBQKhXNh6er5eOBZIcQLQogw\nIYS7EMKt9MvCdlKArcYJO4CU8ijaTUFfC869CSwvdW4R8CmQLITwBhBCNEdLBDW31ITdJSidxEKh\n9CiNy2ix4XXwrq9N2m2Iy+hhJ2qkh5sbxL4I5/bALxusb5SDUGNDT+k46wqlR2mUFnpcQQ9LJ9t7\ngObAHOAYUIg2gTa+LH0e2QbYW8HxfUBrC849KqW8VsG5XsD9Je+N+bkLhBD/K/FnvySE+D8hRJCF\ndjqEQ4cOOdoEp0LpYcYltDi1E35aAzEvgG+gTbtyCT3sSI31aDf8bHb5AAAgAElEQVQA/Bppq+13\nCGps6LFFBlBXRulhRmmhxxX0sNQ95u/o47LXlEDgUgXHc4AGtTjXWA5gTOW1GPgImIY2oZ8GtBZC\ndJFSlgtRKYR4DngOtIx66enpAISHh+Pn58fevdq9RmBgIK1atWLz5s2AlmwiNjaWXbt2kZurhU/r\n2LEjFy5c4OTJkwA0b94cb29v9u/fD0DDhg2JiIggIyMD0LJwPfTQQxw/fpyLFy8C0KlTJ06dOsWZ\nM2cAiIiIwN3dnZ9++gmAe+65h2bNmrF9+3YA6tWrR+fOncnMzDQNvC5dunDs2DHOnTsHaJnuiouL\nTf/UQkJCaNy4sSkZicFgICoqim3btpn8QmNiYjh06JDJrtatW3Pjxg2OHDkCQFhYGHfffTc//PAD\nAPXr16dDhw5s2bKF4uJiALp27cqBAwfIydEuVdu2bcnLyyM7OxuApk2b0qBBA3bv3g1AQEAA7dq1\nIzs7m4sXLyKEoFu3buzZs4fLly8D0L59ey5dusTx48ftfp2ysrJMSRjsdZ3Onz9vugbOdp2+//57\npJS0/WESDXwC2eefQE7J98dW1+ns2bOmz+pM18lR36fTp0+b2qzqOpX9PoXd04t7jyzhdNY6juQb\nrHqdHPF9unXrFu7u7na5TtevXyc3Nxd3d3d8fX3Jy8sz+cX6+flx/fp1ioq0rVQ+Pj7cunWLGzdu\nmD6/h4cH165dM2nq6+tr0tN4/a9du2a69r6+vhQVFZns9Pb2xs3NzZSG3sPDg3r16pk21AkhkFLW\nug0/Pz/y8/O5deuWSbPCwkJu3rxpug5gnvR4enri5eVluq5ubm4YDAartFFbjYuLi53yOvn5+dn9\nOkkp8fb2dsrr5Ijvk5QST09Pq18nKaVpTlnR373qYNeQj0KIQmCWlPLlMsenAi9LKSu9iRBCfAP4\nSymjyxxPAv4HxEsp04UQE4HXgdVSypRS9X6P5krTW0r539vZqZIrOQdKDzNOr0X2ZljSGx6ZAl1H\n2bw7p9fDztRKj4LL8HYbaPko9PuXdQ1zACq5kh6VQEeP0sOM0kLPnZRcqXTjfkKIZkIIz+qei7ZS\nXtGKemWr6JaeC+YV919Lfv6vTL1vSn52wElp3boqD6G6hdLDjFNrISV8N0Vzs+jyR7t06dR6OIBa\n6eETAA8Og70r4fJxq9nkKNTY0OPj4+NoE5wKpYcZpYUeV9DD4km7EKKPECILuAL8ArQrOf4vIcRA\nC5vZh+abXpbWaBlXqzr33pKwkWXPLQQOl6rnkhgf8yg0lB5mnFqLw+vheAYkvASe9vmj59R6OIBa\n6xH9Jy16zNZ/WscgB6LGhh6jm4NCQ+lhRmmhxxX0sGjSLoT4LfAf4CIwASgdG+woWsx1S1gFRAsh\n7ivVdjja5tFVVZy7GvAEBpQ61wP4PfCNlNL4l3orcBYtgkxpepX8zLTQVrtj9JdUaCg9zDitFsZV\n9oCm0HGI3bp1Wj0cRK31uCsM2vaDnR9CQVUPPZ0bNTb0VOcmZsmSJQghCAgI4NIl/TgoKipCCEFq\naqqVLaw5+fn5PP300wQHByOEYMyYMWzcuBEhBBs3bqzwnDvxpi41NZXvvvuuWueMGjWKlJSUqiva\nibJjKzU1FWHDMLRSSjp27Mgbb7xhOuYKY8PSlfbJwAdSyp7A7DJle4G2FrbzPpAN/EcI0VcIkYJ2\nM3ACWGisVOJ+UySEmGQ8JqX8AS3c42whxHAhRA80H/V7S+wz1isCXgZ+I4RYIIToKYR4HngXLc78\ntxbaqlAoquLAKjizGxJfAQ8vR1ujqA2xL8LNfNix2NGWKBzMlStXmDFjhqPNqJL58+fzySef8Oab\nb5KRkcHYsWOJiooiIyODqKgoR5tnN1577bVqTdqPHDnCggULeOWVV2xoVe0YPny4adO6LRBCMGnS\nJKZNm2ba1O8KWDppb4U5PnrZnauXAItCKUop84HuwEG0yC7L0Fbqu0spS+ePFYB7BfY9A3wATAXW\nAk2AXlLKrDL9fAgMAbqhrdC/CiwFHpNOnPIqLCzM0SY4FUoPM06pxa1i+O51aNgCHvi9Xbt2Sj0c\niFX0aNQOmneHbQuhyPlXnCpDjQ09Xl7Vv5nu2bMnc+fONUXgsRfVXek8cOAAoaGhDBkyhOjoaJo1\na4a/vz/R0dH4+/tXeE5N9LjTmD17Nu3btyc6Orrqyg4iLCzM5valpKRQr149/vUvbQO+K4wNSyft\nV4GGlZSFAxcs7VBKeVxK2U9K6S+lrC+l/K2UMrtMnWwppZBSppY5XiClHCelbCSlrCelfEhKubGS\nfj6SUraVUnpLKUOklC+WuTFwOu6++25Hm+BUKD3MOKUWe/4NF3+GhyeCm7tdu3ZKPRyI1fSIHQV5\n5+DH5VXXdVLU2NDj4WFpZGczf/vb3wCYOnVqlXW3b99OUlISfn5+GAwGevToYQrJeTuM7g979+4l\nOTkZPz8/nnjiCVP5ypUriY6OxtfXl4CAAAYMGGAKHQvaSumSJUs4ceIEQgiTS0xF7jGJiYl069aN\n9evXExMTg6+vL23btuWLL74oZ9fu3btJSUmhQYMG+Pj40LVrV1O4PiPDhg0jLCyMHTt2EBsbi4+P\nDy1btmTt2rUAzJo1i/DwcPz9/enbty8XLuinSEVFRUybNo3IyEi8vb0JDQ1l/Pjxujjh2dnZCCFY\nuHAhkyZNIiQkhICAAB577DFTWFWjDgCvv/66SYfbuTDduHGDpUuXMnDgQN3YMOr25ZdfMmLECAID\nAwkICGDMmDEUFxeTmZlJt27dMBgMtGnThq+//rpc25s2baJHjx7Ur18fg8FAcnKyKWyskeLiYv72\nt78REhKCr68viYmJ7NtXfitiRe4x8+bNIyYmxmRbdHS0SfPq6gZaWMgBAwaYJu01+a7YG0sn7f8D\nXhFCBJQ6JkuykL4A3DaEosIyjLGZFRpKDzNOp0XxTdg4TVudbVVVMmPr43R6OBir6XFfonZNt8wF\nF9iUVRHOMDZ+vzCj3OujjGwACgqLKyz/944TAOTkF1ZYvnr3aQBOXy6osHz9fm1V/MgF/dqUMW51\ndQgJCeGFF17gvffe49ixY5XW+/HHH0lISODSpUssWbKE//u//+Pq1askJCSY8gRURd++fUlISGDV\nqlWMHTsWgAULFtCvXz9at27NZ599xsKFC9m7dy8JCQmmuNsZGRkkJyfTqFEjMjIyqnSJOXLkCKNH\nj+ZPf/oTK1euJCQkhAEDBnD4sClBO1lZWcTGxpKTk8P777/P559/TlBQEElJSezcuVPX3tWrVxky\nZAjDhw/niy++IDg4mH79+jF+/Hg2bNjA/PnzmT17Nhs2bGDkyJG6cwcPHszUqVMZOHAga9eu5ZVX\nXmHRokUMGjSonN3Tpk3j8OHDLF68mDlz5pCRkcHgwYNN5UYXkmHDhpl0GD58eKU6bN26lcuXLxMX\nF1fh2BgzZgwGg4Hly5fz4osvMmfOHMaMGcOQIUP4wx/+wMqVKwkMDOR3v/udKY8BwNq1a+nRowd+\nfn4sXbqUjz/+mNzcXOLi4jhx4oSpXmpqKv/4xz8YNGgQX375JT179rTYt/7o0aMMGzaMFStWsHz5\ncjp16kSfPn1Yt25dtXUzEh8fz6FDh/jll19q9F2xN5beVvwV2A78DHyF5iLzMvAAcBfwW5tYp1Ao\nnJMfPoJL2TBwBbhVO3KswlkRAmJHw8rhcOhrLXa7ok4yYcIEFi5cyGuvvcbixRXvc/j73/+Ot7c3\n3377LQEB2preI488Qnh4OK+99horV66ssp9Ro0YxevRo0/u8vDwmTJjAM888o+u3S5cutGzZkkWL\nFjFmzBiio6Np2LAh3t7eFrlRXLx4kbS0NBo1akT9+vWJiooiJCSEFStWMHHiRABeeuklmjZtynff\nfWdylUhOTqZt27ZMmTKFL7/80tRebm4uCxYsID4+HoDQ0FDat2/PmjVr2L9/P+7u2tPHvXv3Mnfu\nXIqLi3F3dyc9PZ3ly5fz4YcfMmSItnk/KSmJwMBABg8ezK5du+jQwRyZOjw8nI8//tj0/sKFC7z0\n0kucPn2a0NBQ02dv3LixRTps3boVIQQPPPBAhe5I3bt3Z9asWYB2LdeuXcu8efNIT0+nW7dugHZT\n1759e9auXcvQoVocktGjR5OQkMB//vMfU1sPP/ww9913H2+99RazZ8/m0qVLvP322zz33HO8+eab\ngOaK5e7uzssvv0xVvPXWW6bfb926RY8ePTh48CD//Oc/6dWrl65uVboZ6dixo0mXxx57rEobHI1F\nk3YpZbYQIgp4DS0qSzEQD6wDJkkpT9vOxLqDSnKgR+lhxqm0uHkdNs2EsC4Q0dMhJjiVHk6AVfVo\n81v49jXY/I5LTtqdYWwsHxFTaZmPl/ttywMNXrctDw3wuW1587v9dO+Nk8fqEhgYyPjx43nttdeY\nMGECzZs3L1cnLS2NPn36mCbsAP7+/qSkpLB69WqL+nn88cd17zMyMrh69SqDBg0yZb8EaNKkCZGR\nkaSlpTFmzJhqf56IiAgiIiJMq6nBwcEEBwebXG4KCgrYtGkTEydOxM3NTdd3UlISy5Yt07VnMBhM\nE3bQMu8a65bWPDIykqKiIs6cOUNYWBjr1q3Dy8uL/v376/ro2VP7W5qWlqabtPfu3VvXb7t27QA4\nfvy4bvJpKadPn8bf3x8vLy9d/0YefVT/nY+MjOTgwYOmCXvpz2pcQT906BBHjhxh4sSJujZ9fX2J\niYkhLS0NgD179pCfn69zgwJ48sknLZq079y5k8mTJ5OZmcmFCxdM2VJbtmxZrq6luhnd6U6fPl3j\n74o9sXiJTEp5Ukr5rJQyTErpVeIn/oyU8kTVZyssofQXVaH0KI1TabFjEeSehh6vaiuzDsCp9HAC\nrKqHuydEPw/Ht8BJ+2eGri1qbOjx9S2b2sRyxo4dS2BgIJMmTaqwPCcnh5CQkHLHGzVqVC5kZGWU\nPf/8+fOANvn19PTUvfbs2cOvv/5aUTNVEhio5WEsrYe3t7fJjzwnJ4fi4mKmTJlSrt958+Zx6dIl\nXRzv0jcqYN7E2KBBgwqPG/s5f/48hYWFGAwGXR/BwcEA5T6f0e7SNpdur7pcv37d1EZFY6Mi+yv7\nrKU/E8Czzz5bTrs1a9aYPtOZM2cAuOeee3TtlX1fESdOnKBHjx7k5OQwd+5ctmzZQmZmJr169apQ\nC0t1MyZUKigoqNV3xV44v9d9HWLLli3ExsY62gynQelhxmm0uJEH6bPg3gS4N77q+jbCafRwEqyu\nR9QQ2DQDNs+B339kvXbtgBobevLy8vDz86u6YgX4+fnxyiuvMH78eF566aVy5YGBgZw9e7bc8bNn\nz5ab/FVG2c2GQUFaMLolS5bQpk35XIy1fZJSmR4BAQG4ubkxcuRIk9tKWdys4AoYFBREvXr1ym1u\nNVKT1fPq9n/58mWgdmOjbJug+ZEnJSWVKzdO8o03aOfOndNdW0uiFK1bt44rV66wYsUKXYSo2vqh\nG8M9NmzY0Gp62BI1aXciiouLHW2CU6H0MOM0Wmz7J1y7CD0qXnmzF06jh5NgdT28/aDzs9oN2q9H\nIKi8a4SzosaGntpGOX7++eeZNWuWKaJMaRISEvjqq6/Izc01TaZzc3NZvXo1iYmJNeovNjaW+vXr\nc/jwYZO/tDWpTA+DwUBcXBy7d+8mKirKKhP0iujVqxczZszgypUr9OjRwyptenl5UVBQYFHdyMhI\nCgsLOXnyJHfddZdV+m/ZsiXh4eHs27fvtm4uDzzwAAaDgRUrVtC9e3fT8U8//bTKPoyTc09PT9Ox\ngwcPsnnz5lqFeT169CigfQYnjghuQk3aFQqFZRRcgs1zocWjENbJ0dYobE2XEVoUmYz50GeWo61R\nOAhvb28mTZrEc889V67s1VdfZc2aNfTo0YMJEyYghGDGjBlcu3atUpeaqvD392fmzJmMHDmSCxcu\n8Oijj3LXXXdx6tQpNm3aRGJiIgMHDqztx6qQWbNmER8fT3JyMs8++ywhISFcvHiRrKwsiouLmT59\neq37SExM5KmnnqJ///6MGzeOLl264ObmRnZ2Nl999RUzZsygRYsW1WqzdevWrF27ll69etGgQQNC\nQ0MrXbE3+uFv376dRx55pNafB7SnJfPnz6dv374UFhbyxBNP0LBhQ86dO8eWLVto2rQp48aNIyAg\ngLFjx/L6669Tv359evbsSWZmJosWLaqyj6SkJDw8PBgyZAjjx4/nzJkzTJ48maZNm+rclqrLtm3b\n8PT0JDo62iVu+FXYByeia9eujjbBqVB6mHEKLbbMhRtXoHv5FTd74xR6OBE20aP+PdD+Sdi1DPIv\nVl3fSVBjQ481Hvc/88wzRERElDv+wAMPsHHjRvz9/Rk6dChPP/00fn5+bNq0ifbt29e4vxEjRrBq\n1Sp+/vlnnn76aXr37k1qaipFRUW13rNwOz2ioqLIzMwkKCiIUaNG0bNnT0aPHs2ePXt0m05ry9Kl\nS0lNTeWzzz6jb9++9O/fn3nz5hEREWGRf3dZ5s2bh8Fg4LHHHqNz58689957ldYNDw+nS5curF69\n2qquIL179yYtLY38/HyGDx9OcnIyf/nLXzh79iwxMeaN06mpqUycOJGPPvqIlJQUvvnmG4s2Lbdp\n04Zly5Zx7NgxUlJSeOONN5g+fXqtr8uaNWtISUnB19fX6V1jAIQrPA6wN506dZI7dth/A9a+ffsq\n9OGrqyg9zDhci7zzMKcDtOwF/R2f5t7hejgZNtPjwkGY3xkSXoaHnTfleWnsOTYOHDhAq1at7NJX\nTSkoKDBttlMoPUDbLzB69Gh++eUXkz96XeT06dM0adKEb775hh49ethsbFT1d0IIsVNKadHja7XS\n7kQYN0QoNJQeZhyuRfosKLoOiRMda0cJDtfDybCZHne3gJa9Yft7UOj8iUdAjY2yVBTWry6j9NCS\nO4WGhrJgwQJHm+JQZs6cSUJCgmlvgSuMDYt92oUQ9wFPAE2BemWKpZTyWWsaplAonIQrJ7Uwjx2e\ngob3O9oahb2JHQU/f6W5yXT5o6OtUSgUtcTDw4MPPviALVu2ONoUhyGlpFGjRhXu1XBmLJq0CyF+\nC6xAW5k/D5RNo6V8bKxA27ZtHW2CU6H0MONQLTa9AVJCwgTH2VAGNTb02FSPptEQ1hky5kGnP4Cb\ncycgUWNDT113BSmL0kMjOjqaTp3qbkABIQQTJuj/p7nC2LDUPWYKsBEIkVKGSinvLfO6z3Ym1h3y\n8vIcbYJTofQw4zAtfj0CPyyFTs9AQFPH2FABamzosakeQmir7Zey4cAq2/VjJdTY0FObyBp3IkoP\nM0oLPa6gh6WT9vuAN6WUF2xpTF0nOzvb0SY4FUoPMw7TYuN0cPeCuD87pv9KUGNDj831iPwNBN4H\nm9/Rnro4MWps6Llxo+yD8bqN0sOM0kKPK+hh6aT9J6DubjFWKOoi5/bDnn/DQ89p4f8UdRc3d4h5\nAU5nwbHNjrZGoVAo6iSWTtr/Akws2YyqsBFNmzqP+4EzoPQw4xAtNrwO3vWh6xj7910FamzosYse\nHQaCb0Nttd2JUWNDjzGFvEJD6WFGaaHHFfSwNHpMKtpK+wEhxCGgbEwtKaVMsKZhdZEGDRo42gSn\nQulhxu5anMqCn9ZA4ivgG2jfvi1AjQ09dtHD0we6PAcb/wHnf4LgSNv3WQPU2NDj4aESn5dG6WFG\naaHHFfSwdKW9GPgZ2AJcKHlf+uX83vsuwO7dux1tglOh9DBjdy2+mwo+gRD9vH37tRA1NvTYTY/O\nw8HDR8uO66SosaHn2jXXiK9vL5QeZpQWelxBD4tuK6SUiTa2Q6FQOAvHtsCRb+GRv0M9f0dbo3Am\nDEHQcTDsXALd/wb+IY62SKFQKOoMKiOqExEQEOBoE5wKpYcZu2khJXw7BfwaQWfnTaSjxoYeu+oR\nMxJkMWxzzmyKamzocXe3LK7+J598ghCCtLQ03fFz584hhOCee8pvRp8/fz5CCPbu3QvAsGHDCA8P\nN5VnZ2eTmprKL7/8Uu7c8PBwBg8eXI1PYh2MeuTn5/P0008THByMEIIxY8awceNGhBBs3LjR7nY5\nAnd3d1JTU/nuu++qdd6oUaPo06ePjayqPkIIUlNTTe9TU1MRQlS7HUu/K1JKOnbsyBtvvFHtPmqL\nxZN2IUSIEOJNIUSmEOJIyc83hBCNbGlgXaJdu3aONsGpUHqYsZsWR76F41sg/s/g5WufPmuAGht6\n7KpH4L3Qui/s+ABu5NqvXwtRY0OPr69l3+P4+HiAcpP2tLQ0fH19OX/+PD/99FO5sqCgINq0aQPA\nq6++yhdffGEqz87O5rXXXqtw0u4ojHrMnz+fTz75hDfffJOMjAzGjh1LVFQUGRkZREVFOdhK++Dr\n68trr71WrUn7kSNHWLBggW6S7GwMHz6cjIyMap9n6XdFCMGkSZOYNm0aOTllt3jaFosm7UKIFsAu\nYBSQB2wv+Tka2CWEiLCZhXWI77//3tEmOBVKDzN20cK4yh7QFKKG2r6/WqDGhh676xE7Cm5cgZ0f\n2rdfC1BjQ09urmU3Vo0bN6Z58+YVTtq7d+9eYVl6ejrdunUzrWo2b96cjh07WsfwamJpjG2jHgcO\nHCA0NJQhQ4YQHR1Ns2bN8Pf3Jzo6Gn//uuEWaOnYKM3s2bNp3769U2dTDQsLIzo6utrnVUePlJQU\n6tWrx7/+9a9q91MbLF1pnwFcBVpIKR+WUj4lpXwYaAFcKSlX1BLp5ElL7I3Sw4xdtDiwGs7sgoSX\nwcO5Q1+psaHH7no0joLwONj6Tyi+ad++q0CNjZoTHx9PRkYGRUVFpmNpaWnExcXRrVs33aT90KFD\nnDlzhoQEc+C40u4xGzdu5OGHHwbgkUceQQhRoevJp59+SqtWrTAYDHTq1Mmimy6j+8PevXtJTk7G\nz8+PJ554wlS+cuVKoqOj8fX1JSAggAEDBnD8+HFTuRCCJUuWcOLECZ1dFbnHJCYm0q1bN9avX09U\nVBS+vr60bdtW90TByO7du0lJSaFBgwb4+PjQtWtX0tPTdXWGDRtGWFgYO3bsIDY2Fh8fH1q2bMna\ntWsBmDVrFuHh4fj7+9O3b18uXNDntCwqKmLatGlERkbi7e1NaGgo48eP5/r166Y62dnZCCFYuHAh\nkyZNIiQkhICAAB577DFOnjxpqme8OXn99ddNOtxuBf3GjRssXbqUgQMH6o4bdfvyyy8ZMWIEgYGB\nBAQEMGbMGIqLi8nMzKRbt24YDAbatGnD119/Xa7tTZs20aNHD+rXr4/BYCA5OdnkdmWkuLiYv/3t\nb4SEhODr60tiYiL79u0r11ZF7jHz5s0jJibGZFt0dLRJcyPHjh2zSDfQXGkGDBjgtJP2h4FXpZTZ\npQ9KKY+hhYN82Lpm1U1q4oN1J6P0MGNzLW4Va3HZgyLggd/bti8roMaGHofoETsKrp6EvSvt3/dt\ncIqx8cFvyr+2v6+VFV6ruPyHZVp5/q8Vl+/9XCu/crLi8p//q5VfPFRjs+Pj48nLyyMrKwuAy5cv\ns3fvXuLi4oiLi9NNQI0TeKNbTVmioqKYP38+AO+88w4ZGRnlXE/S09N56623mDJlCsuXL6e4uJg+\nffpw+fJli+zt27cvCQkJrFq1irFjxwKwYMEC+vXrR+vWrfnss89YuHAhe/fuJSEhwbSSmpGRQXJy\nMo0aNarQrrIcOXKE0aNHM27cOFauXElISAgDBgzg8OHDpjpZWVnExsaSk5PD+++/z+eff05QUBBJ\nSUns3LlT197Vq1cZMmQIw4cP54svviA4OJh+/foxfvx4NmzYwPz585k9ezYbNmxg5MiRunMHDx7M\n1KlTGThwIGvXruWVV15h0aJFDBo0qJzd06ZN4/DhwyxevJg5c+aQkZGh20ewfv16QLuRMOowfPjw\nSnXYunUrly9fJi4ursLyMWPGYDAYWL58OS+++CJz5sxhzJgxDBkyhD/84Q+sXLmSwMBAfve733Hx\n4kXTeWvXrqVHjx74+fmxdOlSPv74Y3Jzc4mLi+PEiROmeqmpqfzjH/9g0KBBfPnll/Ts2ZOUlJRK\n7S3N0aNHGTZsGCtWrGD58uV06tSJPn36sG7dumrrZiQ+Pp5Dhw7Z1/1LSlnlC7gG/KaSsj5AviXt\nuMrrwQcflApFnWLXp1JO9pdyz+eOtkThKty6JeW8h6R8N1b7vQ6yf//+igsW9y7/2vaeVnYjv+Ly\nrKVaed7Fisv3fKaVXz5RcflPX2nlFw7W+PP88ssvEpAzZ86UUkq5atUq6ePjI2/cuCF//vlnCcij\nR49KKaUcMmSI9Pf3l0VFRabzhw4dKps1a2Z6v2HDBgnI//3vf+X6atasmQwICJA5OTmmY5mZmRKQ\ny5Ytu62dkydPloCcPXu27nhubq709/eXzzzzTLnP5enpKd9++23TsUGDBulsLW3vhg0bTMcSEhKk\nh4eHPHjQrOu5c+ekm5ubfP31103HunfvLiMjI+WNGzdMx4qKimRkZKTs27ev6djQoUMlIDdt2mQ6\ntnv3bgnIFi1a6PQcO3as9PDwMB1LS0uTgPzwww91di9dulQC8ocffpBSSnn06FEJyISEBF29mTNn\nSkCeOnXKdAyQf/3rX6UlTJ8+XQohdJ9RSrNuZXXv2LGjBGR6enq5z7pkyRLTsebNm8vu3bvrzr1y\n5YoMCgqSo0ePllJKmZOTIw0GgxwxYkQ5mwA5efJk0zHj+KiM4uJiefPmTfnII4/IlJQU0/Hq6Cal\nlIcPH7ZovFb6d6IEYIe0cH5qaST5XcCLQoj/SilNMdmFtqTxfEm5opbs2bNHbaIqhdLDjE21KL6p\nJcy5px20/q1t+rAyamzocYgeQkDsi/Cf57UNzPcn2bf/SnCKsfHM2srLvHxvX24Iun35XWG3L2+o\n32J27do1izfY3XvvvYSFhZGWlsaf//xn0tLSeOihh/Dy8v8uUxAAACAASURBVKJFixYEBweTlpZG\neHg4aWlpdO3a1eKIGxURExOjS4ZlvG6lXVlux+OPP657n5GRwdWrVxk0aJDOxadJkyZERkaSlpbG\nc889Z7EeRiIiIoiIMOsaHBxMcHCwyc6CggI2bdrExIkTcXNz0/WdlJTEsmXLdO0ZDAbdE4rIyEhT\n3dJ6RkZGUlRUxJkzZwgLC2PdunV4eXnRv39/XR89e/YEtKcfHTp0MB3v3bu3rt/S+oaGhlY7Lvnp\n06fx9/evNHPoo48+qnsfGRnJwYMH6datW7nPalxBP3ToEEeOHGHixIm6z+Tr60tMTIzpic6ePXvI\nz8/XuUEBPPnkk7z88stV2r5z504mT55MZmYmFy5cMLnRtWzZ0lSnoKAAqFo3I3fffTeg6WIvLHWP\n+TuQhJYR9e9CiD8JIV4D9gGPAK/ZysC6hKWPBOsKSg8zNtXih6VwKVuLu+3mGlFg1djQ4zA92g2A\n+iGw+R3H9F8BamzoKS4urlb9+Ph4vv/+e6SUJn92I0a/9pMnT5KdnV2pa4ylBAbqsy17e3sD6Pyz\nb0dIiD5PwPnz5wFt8uvp6al77dmzh19//bXaelRkp9FWo505OTkUFxczZcqUcv3OmzePS5cuceuW\nOQdl2bCkxklw2Wy+xuPGfs6fP09hYSEGg0HXR3BwMAC//vrrbe0uq291tbh+/bqpjYqoyP7KPmvp\nzwTw7LPPltNuzZo1ps905swZgHKhRysKRVqWEydO0KNHD3Jycpg7dy5btmwhMzOTXr166caaUQ9L\nx6WPjw9gnuzbA0uTK60TQvQBpgJ/BQQggZ1AHynlN7YzUaFQ2Iyb1yFtJoR1hhbJjrZG4Wp4eMFD\n/w/WT4bTuyC0Q9XnKJyahIQEPv74Y7Zu3UpWVhZTp041lcXFxfHuu++yadMmoHJ/dntRdv9CUFAQ\nAEuWLDGFoSxN/fr1bWJHQEAAbm5ujBw5kiFDhlRYx80KCyJBQUHUq1ev3OZWI6VXgW1BUFCQ1W+K\njdds2rRpJCWVf1pnnOQbb9DOnTunu7bnzp2rso9169Zx5coVVqxYQVhYmOl4bTOgGsM9NmzYsFbt\nVAdL3WOQUq4D1gkhfIEGwCUppfPnfHUh2rdv72gTnAqlhxmbabFjMVw9Bb/9p+bu4CKosaHHoXp0\negbS3oQtc6H/IsfZUYIaG3qq6wpinIhPnz4dKSUxMTGmsm7dujF27FhWrFiBr68vnTt3vm1bxhVK\ne61ExsbGUr9+fQ4fPszQoRWHra3JSntVGAwG4uLi2L17N1FRUVaZoFdEr169mDFjBleuXKFHjx61\nbs/X1xcvLy+Lr09kZCSFhYWcPHlSN/mtDS1btiQ8PJx9+/bd1s3lgQcewGAwsGLFCrp37246/umn\nn1bZh3Fy7unpaTp28OBBNm/erPscxpVzSzl69KjpM9gLiyftRkom6mqybgMuXbpUZ+LDWoLSw4xN\ntLiRB+lvwb3xcF9C1fWdCDU29DhUj3p3wYNDtfCPSZO1OP8ORI0NPUVFRdXyO4+MjCQ4OJjVq1fz\n4IMP4ufnZyrr2LEjfn5+rF69mocfflg3CaqIFi1a4OHhweLFiwkMDMTb25uWLVvabMXb39+fmTNn\nMnLkSC5cuMCjjz7KXXfdxalTp9i0aROJiYn069evVn74lTFr1izi4+NJTk7m2WefJSQkhIsXL5KV\nlUVxcTHTp0+vdR+JiYk89dRT9O/fn3HjxtGlSxfc3NzIzs7mq6++YsaMGbRo0cLi9oqKimjdujVr\n166lV69eNGjQgNDQ0EpX7I03dNu3b7fapF0Iwfz58+nbty+FhYU88cQTNGzYkHPnzrFlyxaaNm3K\nuHHjCAgIYOzYsbz++uvUr1+fnj17kpmZyaJFVS8UJCUl4eHhwZAhQxg/fjxnzpxh8uTJNG3aVOe2\nVNqn3hK2bduGp6dnjWLC15RKbweFEJOEEKGlfr/d61W7WXwHY+nmm7qC0sOMTbTYtgCuXYTuk6zf\nto1RY0OPw/WI/pP2pCbjXcfagRNo4WQUFhZW+5z4+HiklOVC+7m7uxMTE4OU0iLXmKCgIObNm8fu\n3btJSEigc+fO5cIfWpsRI0awatUqfv75Z55++ml69+5NamoqRUVFdOjQoUZ6WEJUVBSZmZkEBQUx\natQoevbsyejRo9mzZ49V3YiWLl1Kamoqn332GX379qV///7MmzePiIgIi/y7S1NYWMi8efMwGAw8\n9thjdO7cmffee6/S+uHh4XTp0oXVq1fX9mPo6N27N2lpaeTn5zN8+HCSk5P5y1/+wtmzZ3VPelJT\nU5k4cSIfffQRKSkpfPPNNxbZ0qZNG5YtW8axY8dISUnhjTfeYPr06eWuy82b1cs5sWbNGlJSUqr9\nNKs2COMO2nIFQtwCoqWU20t+vx1SSmn9W1cH0alTJ7ljxw6795uenl5p/NO6iNLDjNW1KLgMcx6A\nprEwsOrHi86GGht6nEKPlSO0BF3j9oFPg6rr2wh7anHgwAFatWpll75qSm5urs1Wtl0RpYeZmmix\nZMkSRo8ezZkzZ+w6WbUH1dHj9OnTNGnShG+++aZKV6Wq/k4IIXZKKS1KMVvpSruU0k1Kub3U77d7\nWTxhF0I0EUJ8JoS4IoS4KoRYKYSw6HmqEKKeEGKmEOKMEKJACJEhhLjtLawQ4kkhhBRCnLxdPWfA\nmElOoaH0MGN1LbbMhetXoPtfrduunVBjQ49T6BH7ItzMh0zH+rU7hRZOxO2ifdRFlB5maqLF4MGD\nCQ0N5d13Hf9UzdpUR4+ZM2eSkJBglb0F1cGi3RJCiKZCiAqd14QQHtWYdPsC3wGRwFDgaSAC2CCE\nMFjQxCLgj8AktKROZ4CvhRAVhiwQQgQAs4GzltjnaEr7DiqUHqWxqhZ5FzT/4za/g0auGetcjQ09\nTqFHo7bQvAdsW6hFJXIQTqGFE2GrTZGuitLDTE208PDw4IMPPrjjVtnBcj2klDRq1MiU8deeWHrF\njgIdKylrX1JuCX8E7gN+K6X8Ukr5HyAFaAaMuN2JQoj2wEBgrJTyfSnlt8ATwHG0OPIV8QawG/ja\nQvscyt69ex1tglOh9DBjVS2+fxuKCuDhidZr086osaHHafToOgryz8OPyx1mgtNo4STYM4a0K6D0\nMFNTLaKjo3n++eetbI3jsVQPIQQTJkxwiGucpZP228WC8wSq8nk3kgJslVIeNh6QUh4FNgN9LTj3\nJmD6byClLAI+BZKFELrnGkKIrsBgYKSFtikUdz5XTkHmv6D9wHKZExWKWnNvAjR6QHO/umXpvwWF\nQqFQWMLtoscECCHuE0LcV3KosfF9qVcbNDcXS91P2gAVLYPsA1pbcO7RCmLD7wO8gPtL2e4JvAfM\nLH2D4OxUlHWtLqP0MGM1LdLeAHkLEv5infYchBobepxGDyGg62j49RAcXOcQE+ytRWXBHJwFD49q\nR3a+o1F6mFFa6LGFHtb++3A7C0cDk9Eyn0rgs0rqiZJ6lhAIXKrgeA5awqaanmssNzIB8AamWWgX\nQojngOcAGjdubMo4Fh4ejp+fn+mRa2BgIK1atWLz5s2AFgIrNjaWXbt2kZubC2ixbC9cuMDJk9re\n1+bNm+Pt7c3+/fsBLXtWREQEGRkZgJbx66GHHuL69eumfjt16sSpU6dMqXsjIiJwd3fnp59+ArTU\nvc2aNWP79u0A1KtXj86dO5OZmWlKtdulSxeOHTtmyhgWGRlJcXExhw4dArQMY40bN8YYKcdgMBAV\nFcW2bdtMYbFiYmI4dOgQFy9eBKB169bcuHGDI0eOABAWFsbdd9/NDz/8AGgZ5zp06MCWLVtMSSy6\ndu3KgQMHTNnD2rZtS15eHtnZ2QA0bdqUBg0asHv3bkDLLteuXTtycnJIT09HCEG3bt3Ys2ePKRtb\n+/btuXTpkim8mz2vU1ZWFvn5+Xa9TuHh4aaxUdPrFOyZj0/WR5xt3Ivzxy7RoUEzq1wnY8pze16n\ne+65x6SHM10nR32f6tevb9LD4dcppyGd692D2PgmeXc/ZPfvU6dOnTh48KBdrlNBQQG//vorvr6+\n+Pr6kpeXZ/on7efnx/Xr102xn318fLh16xY3btwwfX4PDw9T4hd3d3d8fX1Nehqv/7Vr10zX3tfX\nl6KiIpOd3t7euLm5mR7re3h4UK9ePfLy8gDtMb7BYKh1G35+fuTn55tiWhsMBgoLC00h8urVqweY\n07x7enri5eVluq5ubm4YDAartFFbjX18fJzyOvn5+TnkOt26dcspr5Mjvk9eXl4UFRVZ9ToVFRXh\n4eFh+vtc0d+96nC7kI/tgQ5ok/LFwFTgSJlqN4D9UsofLepMiEJglpTy5TLHpwIvSykrvYkQQnwD\n+Espo8scTwL+B8RLKdOFEPcDe4DHS7K4IoRYAiRJKS3KBqBCPjoHSg8zVtFi5XOwfxWM3gX1G1nH\nMAehxoYep9Nj6wJYNwGeXQ9Nbp8109rYU4urV69y7tw5GjdujI+PD8IJswqrEId6lB5mlBZ6rKmH\nlJKCggJOnTrFPffcc9uEb9UJ+VjpJFlKuRttEydCCAmskVL+Wk27y3KJilfUK1tFL3tus0rOBfOK\n+ztoEWq2lkSPAc19RpS8vyGlVDtRFHWL8wfgxxVaWD4Xn7ArXICOg2HjNNgyB36/1NHW2AzjP+LT\np09XOzGLvbh+/bppdVSh9CiN0kKPtfXw9PSscsJeXSxy4JFSfmil/vah+aaXpTWw34JzHxdC+Jbx\na28NFAKHS71vRsU3AZeAOcCY6hhtL2yRWtmVUXqYqbUWG14HLz/oNtY6BjkYNTb0OJ0e3n7QeTik\nvwW/HoGg5nbr2t5a+Pv7W/WfsrXZsmULHTtWFvyt7qH0MKO00OMKelTqHlOuorbpdDjQEih7KyKl\nlFVGmBdCjAHeBFpIKX8pORYOHEJzj3nrNud2BLKAYcabCCGEB5orzGEp5WMlx6IrsO9l4EFgAHCy\nqs2pjnKPUShswukf4L1ESHgZHn7F0dYo6gp55+HtttBxEPR529HWKBQKhVNilYyoZRp8CNgJPAok\no7m43AckokVtsdSR730gG/iPEKKvECIF+A9wAlhYqr9mQogiIcQk4zEp5Q9o4R5nCyGGCyF6oIV7\nvJdSG2GllFullBtLv9Ci29woee+00WR27drlaBOcCqWHmVpp8d1ULa18zJ0T/VSNDT1OqYdfMLR/\nEn5YpiX0shNOqYUDUXroUXqYUVrocQU9LI3T/g9gJZpriwCelVKGA0mAO9om1SqRUuYD3YGDwEfA\nMrTETN2llHmlqoqSdsva9wzwQUl/a4EmQC8pZZaFn8OpKb3LWaH0KE2NtTiWAYfXa24x9Zz3EX51\nUWNDj9PqEfsiFBfC9vfs1qXTauEglB56lB5mlBZ6XEEPS4NSPoAWj93oS+MOIKX8riTyyzTgIUsa\nklIeB/pVUSebClbvSzaQjit5WYyUclh16isUdwRSwndTwO8e6PxHR1ujqIs0jICWvSHzfeg2BrwM\njrZIoVAoXBZLV9q9gHwp5S20KC0hpcp+Btpa27C6iLNvgLA3Sg8zNdLiyHdwbDPEvwRevtY3yoGo\nsaHHqfXoOgoKLmluMnbAqbVwAEoPPUoPM0oLPa6gh6WT9sNA05LffwT+IIRwE0K4obmsWJoRVXEb\nLlywn9+nK6D0MFNtLYyr7Hc1haihtjHKgaixocep9WgaDWFdIGMeFBfZvDun1sIBKD30KD3MKC30\nuIIelk7aVwPxJb//A21D6lW0EIoDgVnWN63uYcz4qNBQepipthY/rdWixiROAA8v2xjlQNTY0OP0\nenQdBZePwYFVNu/K6bWwM0oPPUoPM0oLPa6gh6Vx2lNL/b6+JKxiP8AXWCel/MY25ikUimpzq1iL\nyx4UAQ886WhrFArNrz2wOWx5B9o8Dk6YOVShUCicHUs3ouooCb/4g5VtqfM0b26/BCSugNLDTLW0\n2Ps5nN8P/ReDe42+4k6PGht6nF4PN3eIfQHWjIXs7+HeOJt15fRa2Bmlhx6lhxmlhR5X0MPSOO3F\nQogulZQ9KIQotq5ZdRNvb29Hm+BUKD3MWKxF8U3Y8A+4px20fty2RjkQNTb0uIQe7Z8C34baarsN\ncQkt7IjSQ4/Sw4zSQo8r6GGpT/vtnmW6Yw4FqagF+/fvd7QJToXSw4zFWuxaBpeOQve/gpulX2/X\nQ40NPS6hh6cPPDQCDn0D5w/YrBuX0MKOKD30KD3MKC30uIIet/2vXhIhxt1Y1xgxptTLgLYp9aLN\nLVUoFLfn5nXY9AY07gQtejnaGoWiPJ2Hg6cvbJnraEsUCoXC5ah00i6EmAzcBArRVtI3l7wv/boK\nTAL+bXNL6wANGzZ0tAlOhdLDjEVa7PwArp6CHq/e8Rv91NjQ4zJ6+AZCx6fhxxVw9bRNunAZLeyE\n0kOP0sOM0kKPK+ghpKzYs0UIkQAkornGTAIWAWXj4dwA9gNrShIv3RF06tRJ7tixw+79FhUV4eFx\nZ24crAlKDzNValGYD3PaQ3ArGLrafoY5CDU29LiUHpey4Z2OEPsiPPJ3qzfvUlrYAaWHHqWHGaWF\nHkfpIYTYKaXsZEndSlfapZSbpJSvlYR7fA2YXPK+9Gu6lHLVnTRhdyQZGRmONsGpUHqYqVKLbQsg\n/wJ0n2QfgxyMGht6XEqPBuHQ+rew4wO4ftXqzbuUFnZA6VHCqZ3w8ZOc/Hg05CuPXlBjoyyuoIdF\nO9VKJuinhUYbIURcyc87+xm8QuEKFFyGzXM0P/YmnR1tjUJRNV1HwY2rkPWhoy1R3OlICdsWwqJk\nOL6F8F+WwqzW8J8X4Nw+R1unUFQLi8NLCCGGA2eAH4GNJT9PCyGetY1pdQ8vrzsvc2VtUHqYua0W\nGfPg+hV4+K/2M8jBqLGhx+X0CO0I4XGw9Z9QVGjVpl1OCxtTp/W4fgX+PRT++xe4PwlG7WJ33L+g\n4yDY8xn8MxY+TIGf18GtuucwUKfHRgW4gh6V+rTrKgkxCPgI+BZYCpwFGgGDgB7AYCnlJza00644\nyqddoag2+Rc1X/aIR2DAEkdbo1BYzqH/wbL+8NsF0OEpR1ujuNM4vQv+PQwuH4ekVG0PRWnngGs5\n2pOebe9B7mkIvA8e+hN0GAjefg4yWlEXsYpPexn+AiyTUj4ipfxQSvl1yc+ewMfAhJoaqzCTlZXl\naBOcCqWHmUq1+P5tuHkNEifa1yAHo8aGHpfU4/4kCG6thX+0YPHIUlxSCxtS5/SQEjIXwaJHoOgG\nPPOV5o5VMmE36eEbCN3GwpgftezRvkHw35c015mv/wqXjjnwQ9iHOjc2qsAV9LB00t4SbYW9IpaW\nlCtqSX5+vqNNcCqUHmYq1OLqadj+vpZp8u4W9jfKgaixoccl9RBCW/08vw8Of2u1Zl1SCxtSp/S4\nkQufPwtrx8G98fD/voem0boq5fRw94S2/WD4enh2PUQkaW5b73SA5U/DsQyr3lQ6E3VqbFiAK+hh\n6aQ9FwirpCyspFyhUNiTtJkgb0GCetClcFHa9of6obBljqMtUbg6Z/fCe4mw7wvoMQkG/hsMQdVr\no0lnbdV9zI/QdTQcTYMPemnt7l5u9f0XCkV1sdSn/f+AZKC/lDK91PEYYCXwjZRyqM2stDOO8mkv\nKCjAx8fH7v06K0oPM+W0yDkK8zrBg8PgN285zC5HocaGHpfWY/Mc+N8keG4ThHaodXMurYUNuOP1\nkBJ++Ai+egnqBWiT7vCulVavlh6F+fDjcm3l/eJB8LsHOv8ROj0DBudPxFMVd/zYqCaO0sNWPu1X\ngI1CiONCiG1CiGPA92hZUf9SM1MVpTl16pSjTXAebl7n1MkTjrbCaSg3NjZOBzcPiPuzYwxyMOq7\nosel9XhwGHjVhy3vWKU5l9bCBtzRehTmwxf/D1a9qLnB/L/vbzthh2rq4WWATn+A57fB4M+hUTvY\nMPWOCRl5R4+NGuAKeliU+klKeVYI0QH4AxAHBALZwCZgiZTyms0srEOcOXOG+++/39Fm2IdbtyDv\nrJYdsaJX3jnuEx5wV2MIaAp3hcFdTbSfAU3Mv3vWjVUC3dg4/5O2+hP7AviHONYwB1GnvisW4NJ6\n1LsLOg2DjHehx2Ro0KxWzbm0FjbgjtXj/E9aOMcLP2sb8eP/DG7uVZ5WIz3c3LSN0/cnaf1tWwC7\nPtFW+O9NgOjnIaKnVs+FuGPHRg1xBT2qnLQLITyB3sCPUsp5wDybW6W4M7iRB5ePVTIxPwbFN0pV\nFtokvEG4Fr4woBmnfvmZJvWBKyc038LcM5oPd2l8G5ZM4sPgrqalJvUl730D9WG+7gQ2vA5eftB1\nrKMtUSisw0N/0lwQtr4Lj85wtDUKZ2fXJ9pmUy8DDPkS7ku0X993t4Q+b0P3V7WQkdvfh09+r0JG\nKuxClZN2KeVNIcQKoBdw1PYm1V0iIiIcbUL1uHVLi29b2Wp5/gV9fa/6EBiu/dFrkaxN0BuEQ4N7\ntZVzD31iA8+WZ6FRI/OB4ptaxJQrJ+DKSbh8ouT3E9rqx6H1UFSg79PTt2QCb1ypb6JfqfcP1aIH\nODmmsXF6FxxYBQkvV3+T1R2Ey31XbIzL63FXY2g3ALL+T9tY7RtY46ZcXgsrc0fpUXhNC8v4w1It\nOVe/f0H9RlWfVwqr6WEMGRnzgvY3ees/Ndu+mwpRT/P/2TvvODeqq38/R13aXu1d2+vebQzGYAwY\nUwzBoQcIJKGEDoGEEFJIoSRAkjckQBJIe0MILy0ECO1HKKabZgy2wTa497be3tSl+/vjjto2y/bu\nSrs7z2fnI2nundHV2dHoO2fOOZfDrzzgu0a9zYA6NnqA/mCPtMJjgI1AeW8OxASs1r3f2utzAi1d\ni/LGrRBJyqYXS8JbPnFBkigfpYW5u2ifvN4d7GG165NgVydCpfSEGU1bk0T99sTrXZ+BtzZ1G7FA\nXkW70Jt2XntnXtpj7i3itnjjDm3HOddmdkAZJiu/KxlkQNjjyG/Dp4/Dxw/AMT/Y790MCFv0IAPG\nHrXr4N8XwZ4v9PEx7yawpithEvS4PWIlI6edDduWwOI/J+4aTTpVh85UHZGVd3wHzLHRQ/QHe6R7\nxP8G+KmIvKGUqtlrb5P9YvXq1ZSVlfXtm0Yj0Lyja2HurUvt7yzQ3vIhU2HSKanCvGBEj3qt99ke\nItr7nFOip0nvjJDPEPLbkkS98bh9CXz+LETDqdu4CjoJvUny2ueU93os4+rVqynzbYD1C2H+z8GV\n36vvl+1k5LuSxQwIewyZCuNO1DNUzvk22F37tZsBYYseZEDY47Mn4YXr9TFxwVM6tnw/6VV7jDhM\nLyf+Apb8HT5+UHvhKw7W4n3qWR3uKGeSAXFs9CD9wR7pivbj0cmnm0TkQ2AXkFwrUg2kko8DDn9T\nN97ybRANJfqKVQvRolEw+bR23vJR2svbn7G7oXS8XjojGoHWasNTvzVV1DduhS3vQ6ApdRurA/KH\nGaK+fdJslW7bTwESRyl4/XZdcuzwKw9sXyYm2cpR34GHToPP/qWrypgMbkJ+ePkm+ORBqJoDZz+g\nQ6mynYLhMP82fUcgVjLymSth4c0DqmSkSd+Trmg/GggBNcBYY0lmYE4X1scMGTJk/zaMhKF5e9fC\n3NeQ2t9dpAV4xQyYckaqKM8fvl+3HHuD/bbHgWCx6jj3/EoYcXjnffxNHWPqY683vKkTZtt/JXLK\n21W+aVcJZy+hQ6PVFtjyLiy4Cxyenvu8/ZSMHBtZzICxx6i52iv5/n1wyEX7dQdrwNiih+i39qjb\noKvD7F6hJzo6/uYeuZPbp/aIlYyc+U3Y+IYW72/eoSfGO+ircMQ1+g5Thui3x0Yv0R/skdbkSoON\nTE2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8FZ1Eugb4P+BRpdS23h1eZshU9Rjfryfg9lenrpx0KpxvpAz8Zix4a1PbDzofvmLc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\nkiRJ0oj7F2HMTcTJK169AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1e8b541c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "def no_extreme_error(track):\n",
    "    for row in track.index:\n",
    "        if track['trans_error'][row] > 12.5:\n",
    "            print(\"Too extreme!\")\n",
    "            return False\n",
    "    \n",
    "    return True\n",
    "\n",
    "\n",
    "def get_tracks(df, prefix, min_track_len):\n",
    "    \"\"\"Returns an id->[entry] map from the given tracklet evaluation data.\"\"\"\n",
    "    gb = df.groupby('track_id')\n",
    "    tracks = {}\n",
    "    for track_id in gb.groups.keys():\n",
    "        track = df[df['track_id'] == track_id]\n",
    "        \n",
    "        if len(track) >= min_track_len: # and no_extreme_error(track):\n",
    "            track_key = '{}-{}'.format(prefix, track_id)\n",
    "            track_start = track.index[0]\n",
    "            new_index = track.index - track_start\n",
    "            track = track.set_index(new_index)\n",
    "#             print(track.index)\n",
    "            tracks[track_key] = track\n",
    "            \n",
    "    return tracks         \n",
    "    \n",
    "\n",
    "def analyze_tracklets(root_dir, **kw):\n",
    "    csv_pattern = 'kitti-tracking-sequence-{seq_id:04d}-tracking-dataset-offset-0-' \\\n",
    "        'depth-precomputed-dispnet-voxelsize-0.0500-max-depth-m-20.00-' \\\n",
    "        'dynamic-mode-{direct_ref_type}-direct-ref-NO-fusion-weights-3d-tracking-result.csv'\n",
    "        \n",
    "    min_track_len = kw.get('min_track_len', 10)\n",
    "    seq_ids = np.arange(7)\n",
    "    direct_ref_types = ['NO', 'with']\n",
    "    \n",
    "    data_raw = {}\n",
    "    for ref_type in direct_ref_types:\n",
    "        data_raw[ref_type] = {\n",
    "            'track_id': []\n",
    "        }\n",
    "        data_raw[ref_type]['rot'] = {}\n",
    "        data_raw[ref_type]['trans'] = {}\n",
    "        for i in range(min_track_len):\n",
    "            data_raw[ref_type]['rot']['frame-{:02d}'.format(i)] = []\n",
    "            data_raw[ref_type]['trans']['frame-{:02d}'.format(i)] = []\n",
    "        \n",
    "    \n",
    "    for direct_ref_type in direct_ref_types:\n",
    "        for seq_id in seq_ids:\n",
    "            csv_fname = csv_pattern.format(seq_id=seq_id, direct_ref_type=direct_ref_type)\n",
    "            csv_fpath = os.path.join(root_dir, csv_fname)\n",
    "            \n",
    "            df = pd.read_csv(csv_fpath)\n",
    "            prefix = '{}-{}'.format(seq_id, direct_ref_type)\n",
    "            tracks = get_tracks(df, prefix, min_track_len)\n",
    "            \n",
    "            for track_key, track in tracks.items():\n",
    "                data_raw[direct_ref_type]['track_id'].append(track_key)\n",
    "                for i, frame_idx in enumerate(track.index[:min_track_len]):\n",
    "                    data_raw[direct_ref_type]['rot']['frame-{:02d}'.format(i)].append(track['rot_error'][frame_idx])\n",
    "                    data_raw[direct_ref_type]['trans']['frame-{:02d}'.format(i)].append(track['trans_error'][frame_idx])\n",
    "        \n",
    "#     print(np.array(data_raw).shape)\n",
    "    no_da_rot = pd.DataFrame(data_raw['NO']['rot'])\n",
    "    with_da_rot = pd.DataFrame(data_raw['with']['rot'])\n",
    "    no_da_trans = pd.DataFrame(data_raw['NO']['trans'])\n",
    "    with_da_trans = pd.DataFrame(data_raw['with']['trans'])\n",
    "    \n",
    "    fig, (ax_trans, ax_rot) = plt.subplots(2, 1, sharex=True, figsize=(12, 8))\n",
    "    x = np.arange(2, min_track_len+2)\n",
    "    MPL_BLUE = 'C0'\n",
    "    MPL_ORANGE = 'C1'\n",
    "    \n",
    "#     ax_trans.errorbar(x, no_da_trans.mean(), yerr=no_da_trans.std(), label='No refinement (mean)')\n",
    "#     ax_trans.errorbar(x, with_da_trans.mean(), yerr=with_da_trans.std(), label='With refinement (mean)')\n",
    "    ax_trans.plot(x, no_da_trans.mean(), label=\"No refinement (mean)\")\n",
    "    ax_trans.plot(x, with_da_trans.mean(), label=\"With refinement (mean)\")\n",
    "    ax_trans.plot(x, no_da_trans.median(), '--', color=MPL_BLUE, label=\"No refinement (median)\")\n",
    "    ax_trans.plot(x, with_da_trans.median(), '--', color=MPL_ORANGE, label=\"With refinement (median)\")\n",
    "    \n",
    "    ax_trans.yaxis.set_major_formatter(ticker.FormatStrFormatter(\"%.2f\"))\n",
    "    ax_trans.set_ylabel(\"Relative translation error (m)\")\n",
    "    ax_trans.legend()\n",
    "    ax_trans.grid(color='0.7', linestyle='--')   \n",
    "    ax_trans.set_title(\"Translation error over time\")\n",
    "    \n",
    "    ax_rot.plot(x, no_da_rot.mean(), label=\"No refinement\")\n",
    "    ax_rot.plot(x, with_da_rot.mean(), label=\"With refinement\")\n",
    "    ax_rot.plot(x, no_da_rot.median(), '--', color=MPL_BLUE, label=\"No refinement (median)\")\n",
    "    ax_rot.plot(x, with_da_rot.median(), '--', color=MPL_ORANGE, label=\"With refinement (median)\")\n",
    "    ax_rot.legend()    \n",
    "    ax_rot.grid(color='0.7', linestyle='--')   \n",
    "\n",
    "    ax_rot.set_title(\"Rotation error over time\")\n",
    "    \n",
    "    ax_rot.set_ylabel(\"Relative rotation error (deg)\")\n",
    "    ax_rot.set_xlabel(\"Track frame\")\n",
    "    ax_rot.set_xticks(np.arange(2, 2+min_track_len))\n",
    "    \n",
    "    assert(len(no_da_trans) == len(with_da_trans) and len(no_da_trans) == len(no_da_rot) and len(no_da_trans) == len(with_da_rot))\n",
    "    print(\"Aggregated data from {} tracks.\".format(len(no_da_trans)))\n",
    "    \n",
    "    fig.subplots_adjust(hspace=0.33)\n",
    "    \n",
    "    fig_root = os.path.join('..', 'fig')\n",
    "    fig.savefig(os.path.join(fig_root, 'tracklet-results-agg.eps'))\n",
    "    \n",
    "    \n",
    "analyze_tracklets(os.path.join('..', 'csv', 'aug-21-tracklet-results'))"
   ]
  },
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   "outputs": [],
   "source": []
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